Relevant bibliographies by topics / DICOM

Academic literature on the topic 'DICOM'

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Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "DICOM"

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Hackländer, Thomas, Klaus Kleber, Jens Martin, and Heinrich Mertens. "DICOM router." Academic Radiology 12, no. 3 (March 2005): 385–92. http://dx.doi.org/10.1016/j.acra.2004.11.015.

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D’Addazio, Gianmaria, Edit Xhajanka, Tonino Traini, Manlio Santilli, Imena Rexhepi, Giovanna Murmura, Sergio Caputi, and Bruna Sinjari. "Accuracy of DICOM–DICOM vs. DICOM–STL Protocols in Computer-Guided Surgery: A Human Clinical Study." Journal of Clinical Medicine 11, no. 9 (April 22, 2022): 2336. http://dx.doi.org/10.3390/jcm11092336.

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Guided implant surgery can enhance implant placement positioning, increasing predictability and decreasing postoperative complications., To date, the best protocol to be used for template realization is still unknown. Thus, the aim herein was to clinically compare the accuracy of two different protocols. A total of 48 implants were divided into Group A (24 implants), in which a stereolithographic template was realized using the digital imaging and communications in medicine (DICOM) data arrived from cone beam computer tomographies (CBCTs) (patients and prothesis alone), and Group B (24 implant), in which a standard intraoral stent with a standardized extraoral support was used for patients’ intraoral impressions and CBCT. The preimplant virtual planning and postsurgery CBCT images of both groups were superimposed, and differences were registered in terms of average deviations at the platform (a) and implant apex (b), mean depth change (c), and angular deviation (d). The results demonstrated that there were no statistically significant differences between groups (p = 0.76) for the parameters measured. However, statistically significant differences (p < 0.05) were found between maxillary and mandible implant surgery, as the latter showed greater accuracy. Additional studies are necessary to further reduce discrepancies between planning and surgical procedures.
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Caffery, Liam J. "The Role of Standards in Accelerating the Uptake of Artificial Intelligence in Dermatology." Iproceedings 8, no. 1 (February 23, 2022): e36890. http://dx.doi.org/10.2196/36890.

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Background The use of artificial intelligence (AI) for dermatology is showing great promise in research contexts. However, the clinical use of AI in dermatology is still limited. The uptake of medical imaging standards for dermatology imaging is also limited. Standards adoption is more widespread in other imaging specialties (eg, radiology) as is the clinical use of AI. Digital Image Communication in Medicine (DICOM) is the standard for medical imaging. DICOM standardizes image formats and associated metadata. Further, DICOM facilitates interoperability between actors in the digital health ecosystem. Objective This study aimed to identify how medical imaging standards, in particular DICOM, can support the clinical use of AI. Methods Design Science Research Methodology was used to determine the role of DICOM in AI-based medical imaging workflows. Scenarios were identified and synthesized using expert consensus. Results The key benefits of using DICOM to improve the clinical use of AI were the potential to encode artefacts derived from the AI process as DICOM objects and store them alongside the original images. Such objects include downsized or down-sampled images, segmentation objects, or visual explainability maps (eg, class activation maps). DICOM can facilitate interoperability between actors in the medical imaging workflow pipeline and permits the inclusion of AI evidence creators in this pipeline. Owing to standardized image formats and metadata, DICOM can be beneficial for the curation of multi-institutional data sets. The key challenge of using DICOM is limited uptake in some specialties including dermatology. Conclusions DICOM offers potential to accelerate the clinical adoption of AI in dermatology by addressing several technological issues. More widespread uptake of DICOM in dermatology imaging is required to achieve this potential. Conflicts of Interest None declared.
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Varma, DanduRavi. "Free DICOM browsers." Indian Journal of Radiology and Imaging 18, no. 1 (2008): 12. http://dx.doi.org/10.4103/0971-3026.38503.

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Lefèvre, Jean-Éric. "DICOM, Mode d’emploi." RBM-News 20, no. 10 (December 1998): 8–12. http://dx.doi.org/10.1016/s0222-0776(00)89016-1.

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Lefèvre, Jean-Éric. "DICOM, mode d'emploi." RBM-News 21, no. 1 (March 1999): 9–12. http://dx.doi.org/10.1016/s0222-0776(99)89005-1.

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Parisot, Charles. "The DICOM standard." International Journal of Cardiac Imaging 11, no. 3 (September 1995): 171–77. http://dx.doi.org/10.1007/bf01143137.

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Hussein, Rada, Uwe Engelmann, Andre Schroeter, and Hans-Peter Meinzer. "DICOM Structured Reporting." RadioGraphics 24, no. 3 (May 2004): 891–96. http://dx.doi.org/10.1148/rg.243035710.

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Hussein, Rada, Uwe Engelmann, Andre Schroeter, and Hans-Peter Meinzer. "DICOM Structured Reporting." RadioGraphics 24, no. 3 (May 2004): 897–909. http://dx.doi.org/10.1148/rg.243035722.

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Estrela, Vania V. "DICOM’s Standardization in Histo-Pathology." Medical Technologies Journal 4, no. 3 (December 7, 2020): 578–79. http://dx.doi.org/10.26415/2572-004x-vol4iss3p578-579.

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Background: The Digital Imaging and Communications in Medicine (DICOM) standard helps to represent, store, and to exchange healthcare images associated with its data. DICOM develops over time and is continuously adapted to match the rigors of new clinical demands and technologies. An uphill battle in this regard is to conciliate new software programs with legacy systems. Methods: This work discusses the essential aspects of the standard and assesses its capabilities and limitations in a multisite, multivendor healthcare system aiming at Whole Slicing Image (WSI) procedures. Selected relevant DICOM attributes help to develop and organize WSI applications that extract and handle image data, integrated patient records, and metadata. DICOM must also interface with proprietary file formats, clinical metadata and from different laboratory information systems. Standard DICOM validation tools to measure encoding, storing, querying and retrieval of medical data can verify the generated DICOM files over the web. Results: This work investigates the current regulations and recommendations for the use of DICOM with WSI data. They rely mostly on the EU guidelines that help envision future needs and extensions based on new examination modalities like concurrent use of WSI with in-vitro imaging and 3D WSI. Conclusion: A DICOM file format and communication protocol for pathology has been defined. However, adoption by vendors and in the field is pending. DICOM allows efficient access and prompt availability of WSI data as well as associated metadata. By leveraging a wealth of existing infrastructure solutions, the use of DICOM facilitates enterprise integration and data exchange for digital pathology. In the future, the DICOM standard will have to address several issues due to the way samples are gathered and encompassing new imaging technologies.
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Dissertations / Theses on the topic "DICOM"

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Namprempre, Chanathip. "Electrocardiography in DICOM." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/42751.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
Includes bibliographical references (p. 69).
by Chanathip Namprempre.
M.Eng.
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Dhasarathan, Iyyappan, Vimal Rathinasamy, and Tang Cui. "Wavelet Based SPIHT Compression for DICOM Images." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-13595.

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Generally, image viewers do not include the scalability for the image compressionand ecient encoding and decoding for easy transmission. They alsonever consider the specic requirements of the heterogeneous networks constitutedby the Global Packet Radio Service(GPRS), Universal Mobile TelecommunicationSystem(UMTS), Wireless Local Area Network(WLAN) and DigitalVideo Broadcasting(DVB-H). This work contains the medical application withviewer for the Digital Imaging and Communications in Medicine(DICOM) imagesas its core content. This application discusses the scalable wavelet-basedcompression, retrival and the decompression of the DICOM images. This proposedapplication is compatible with the mobile phones activated in the heterogeneousnetwoks. This paper also explains about the performance issues whenthis application is used in prototype heterogenous networks.
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Barrientos, De La Cruz Andersson Bill, and Tako Jenny Higa. "Técnicas matemáticas para mejorar la visualización de imágenes DICOM." Bachelor's thesis, Universidad Ricardo Palma, 2015. http://cybertesis.urp.edu.pe/handle/urp/1282.

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El desarrollo de técnicas matemáticas para mejorar la visualización de imágenes médicas DICOM, mediante segmentación y procesamiento morfológico es el principal objetivo del presente proyecto de tesis. Para lograr este fin, se recopilaron imágenes médicas de un Tomógrafo Computarizado en diferentes estudios especializados de UROTEM, Tórax y de Cerebro, los cuales fueron procesados mediante algoritmos matemáticos desarrollados en el software Matlab. En el primer capítulo se plantea el problema; la necesidad de un post procesamiento de imágenes médicas, se fundamenta la importancia de esta investigación y se identifican los objetivos a lograr, así como también, se describen los antecedentes de esta investigación. Como marco teórico, en el segundo capítulo, se explica brevemente el funcionamiento de un Tomógrafo Computarizado, la adquisición de una imagen y el desarrollo del formato DICOM como un estándar internacional para imágenes médicas. Las técnicas matemáticas se describen en el capítulo tres; segmentación de imágenes, mediante el método de N. Otsu y procesamiento morfológico, detallándose su formulación y se definen las funciones empleadas en el software Matlab basadas en estas técnicas. El desarrollo de técnicas computacionales son descritas en el capítulo cuatro, donde se presenta por cada estudio; un diagrama de bloques y el desarrollo del procedimiento del algoritmo en Matlab, Finalmente, en el capítulo cinco, se muestran las pruebas y resultados de las imágenes DICOM de cinco pacientes por estudio, identificándose las patologías de forma automática. The mathematical technics to improve the visualization of medical images DICOM, through segmentation and morphological processing is the main goal of the following thesis project. In order to achieve this purpose, we collected medical images from a computed tomography scanner in three different exams, UROTEM, Thorax, and Brain. These images were processed through the mathematical algorithms developed in the software Matlab. The first chapter presents the problem; the necessity to post processing the medical images, the importance of the investigation as a tool to help in the medical diagnosis and the identification of a pathology automatically, the identification of the objectives to accomplish, and also it describes the antecedents of medical images processing developed from different authors. As a theory, in the second chapter, explain briefly the working basis of the Computed tomography scanner, the acquisition of an image and the developing of DICOM format as an international standard for medical images. The mathematical technics, are described in the chapter three; segmentation of the images, through the Otsu method and morphological processing, explaining its formula and function in Matlab Software. The developing of the computational technics are described in chapter four , UROTEM, Thorax and Brain; a flow chart of each exam and the step by step procedure of the Matlab algorithm, which applied the segmentation and morphological processing in the images.
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Santos, Diego Ferreira dos. "Interface DICOM para captura e transmissão de imagens medicas." [s.n.], 2003. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261746.

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Orientadores: Eduardo Tavares Costa, Marco Antonio Gutierrez
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
Made available in DSpace on 2018-08-04T00:07:59Z (GMT). No. of bitstreams: 1 Santos_DiegoFerreirados_M.pdf: 8983353 bytes, checksum: 7549cd702f748bff924596bf5b6906cf (MD5) Previous issue date: 2003
Resumo: A qualidade nos serviços de saúde aumentou significativamente com a evolução da tecnologia de computadores e redes. Através da integração de informações médicas é possível realizar diagnósticos com maior rapidez e eficácia. Um dos problemas que surgiram nas instituições médicas foi o de integração dos equipamentos antigos de diagnóstico médico por imagem aos sistemas de informação da instituição visto que as informações geradas por esses equipamentos ou não são armazenadas digitalmente ou são geradas e transmitidas em um formato proprietário. Para solucionar esse problema foi desenvolvido um software denominado IDicom que, operando em um computador com Sistema Operacional Livre (Linux Debian), atua como uma interface entre o equipamento de diagnóstico médico antigo e um servidor remoto de imagens. O IDicom realiza a aquisição, conversão das imagens para o formato DICOM (Digital Imaging and Communications in Medicine), visualização e transmissão de imagens médicas para um servidor remoto padrão DICOM de um PACS (Picture Archiving and Communications System)
Abstract: The quality of health services has increased significantly with the evolution of computers and networks. Through the integration of medical information it is possible to accomplish medical diagnostics in a faster way and greater effectiveness. One of the problems that appeared in the medical institutions was the integration of old medical imaging equipment to the information system of these institutions since the information generated by those equipment is not stored digitally or is generated and transmitted in a proprietary format. To solve this problem, we have developed Software called IDicom that, running on a microcomputer with Linux Operating System (freeware), acts as an interface between the old medical imaging equipment and a remote imaging DICOM server. IDicom was designed to acquire, convert images to DICOM (Digital Imaging and Communications in Medicine) format, visualize and transmit medical images to a remote standard DICOM server in a PACS (Picture Archiving and Communications System)
Mestrado
Mestre em Engenharia Elétrica
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Oliveira, Celeste Margarida Gomes Marques de. "DICOM-RT standart in Radiotherapy information systems - A National Study." Master's thesis, Faculdade de Medicina da Universidade do Porto, 2011. http://hdl.handle.net/10216/62158.

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Oliveira, Celeste Margarida Gomes Marques de. "DICOM-RT standart in Radiotherapy information systems - A National Study." Dissertação, Faculdade de Medicina da Universidade do Porto, 2011. http://hdl.handle.net/10216/62158.

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Pšurný, Michal. "Big data analýzy a statistické zpracování metadat v archivu obrazové zdravotnické dokumentace." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-316821.

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This Diploma thesis describes issues of big data in healthcare focus on picture archiving and communication system. DICOM format are store images with header where it could be other valuable information. This thesis mapping data from 1215 studies.
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Gerach, Christian. "Segmentierung von Hirnstrukturen im MR-DICOM-Bild und deren 3D-Rekonstruktion." [S.l.] : [s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=969261845.

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Cleasen, Stefan. "A verification and display system for multiple modality DICOM 3.0 objects." Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.391942.

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Vossberg, Michal [Verfasser]. "Sichere und fehlertolerante DICOM-Bildübertragung in medizinischen Grid-Infrastrukturen / Michal Vossberg." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2009. http://d-nb.info/1023710242/34.

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Books on the topic "DICOM"

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Pianykh, Oleg S. Digital Imaging and Communications in Medicine (DICOM). Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-10850-1.

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Association, National Electrical Manufacturers. Digital imaging and communications in medicine (DICOM). Washington, D.C: National Electrical Manufacturers Association, 1998.

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Digital imaging and communications in medicine (DICOM): A practical introduction and survival guide. 2nd ed. Heidelberg: Springer, 2012.

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Digital imaging and communications in medicine (DICOM): A practical introduction and survival guide. Berlin: Springer, 2008.

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Favetto, Gian Luca. Se dico radici dico storie. Roma: GLF editori Laterza, 2011.

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Werner, Püntener, and Häfliger Toni J, eds. Dicot weeds. Basle, Switzerland: CIBA-GEIGY, 1988.

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Dico chat. Outremont, Québec: Éditions du Trécarré, 2003.

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Dico chien. Outremont, Québec: Éditions du Trécarré, 2003.

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Dico-jeux. Alleur, Belgique: Marabout, 1997.

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1958-, Vinard Pierre, ed. Dico de l'économie. Paris: Librio, 2009.

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Book chapters on the topic "DICOM"

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Clunie, David A., and John A. Carrino. "DICOM." In PACS, 73–119. New York, NY: Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4757-3651-9_5.

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Pianykh, Oleg S. "DICOM Security." In Digital Imaging and Communications in Medicine (DICOM), 243–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-10850-1_11.

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Pianykh, Oleg S. "DICOM FAQs." In Digital Imaging and Communications in Medicine (DICOM), 381–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-10850-1_19.

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Pianykh, Oleg S. "DICOM Associations." In Digital Imaging and Communications in Medicine (DICOM), 177–214. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-10850-1_9.

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Fritz, Steven L. "DICOM Standardization." In Filmless Radiology, 311–21. New York, NY: Springer New York, 2006. http://dx.doi.org/10.1007/978-1-4612-1402-1_16.

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Pianykh, Oleg S. "What Is DICOM?" In Digital Imaging and Communications in Medicine (DICOM), 3–5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-10850-1_1.

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Pianykh, Oleg S. "DICOM and Teleradiology." In Digital Imaging and Communications in Medicine (DICOM), 281–317. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-10850-1_13.

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Pianykh, Oleg S. "DICOM Software Development." In Digital Imaging and Communications in Medicine (DICOM), 363–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-10850-1_17.

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Pianykh, Oleg S. "DICOM Implementation Plans." In Digital Imaging and Communications in Medicine (DICOM), 373–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-10850-1_18.

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Pianykh, Oleg S. "Parlez-vous DICOM?" In Digital Imaging and Communications in Medicine (DICOM), 27–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-10850-1_5.

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Conference papers on the topic "DICOM"

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Ismail, Mahmoud, Yu Ning, and James Philbin. "Transmission of DICOM studies using multi-series DICOM format." In SPIE Medical Imaging, edited by Maria Y. Law and William W. Boonn. SPIE, 2013. http://dx.doi.org/10.1117/12.2007590.

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Moore, Stephen M., Fred W. Prior, G. James Blaine, David S. Channin, and Judy Kilday. "Measured performance of DICOM-TCP AND DICOM-ISO implementations." In Medical Imaging 1994, edited by R. Gilbert Jost. SPIE, 1994. http://dx.doi.org/10.1117/12.174321.

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Moore, Stephen M., David E. Beecher, and S. A. Hoffman. "DICOM shareware: a public implementation of the DICOM standard." In Medical Imaging 1994, edited by R. Gilbert Jost. SPIE, 1994. http://dx.doi.org/10.1117/12.174371.

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Leite, Patricia, Sandro Carvalho, Paulo Teixeira, and Alvaro Rocha. "DICOM functionality assessment." In 2017 12th Iberian Conference on Information Systems and Technologies (CISTI). IEEE, 2017. http://dx.doi.org/10.23919/cisti.2017.7975888.

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Khorasani, Elahe, Vadim Sheinin, Brent Paulovicks, and Ashish Jagmohan. "Video compression and DICOM proxies for remote viewing of DICOM images." In SPIE Medical Imaging, edited by Khan M. Siddiqui and Brent J. Liu. SPIE, 2009. http://dx.doi.org/10.1117/12.806815.

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Lemke, Heinz U. "Summary of the white paper of DICOM WG24 'DICOM in Surgery'." In Medical Imaging, edited by Steven C. Horii and Katherine P. Andriole. SPIE, 2007. http://dx.doi.org/10.1117/12.719536.

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Blackledge, J., A. Al-Rawi, and P. Tobin. "Stegacryption of DICOM Metadata." In 25th IET Irish Signals & Systems Conference 2014 and 2014 China-Ireland International Conference on Information and Communities Technologies (ISSC 2014/CIICT 2014). Institution of Engineering and Technology, 2014. http://dx.doi.org/10.1049/cp.2014.0703.

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Thiel, Andreas, Johannes Bernarding, Thorsten Schaaf, Gunter Bellaire, and Thomas Tolxdorff. "Security extensions to DICOM." In Medical Imaging '99, edited by G. James Blaine and Steven C. Horii. SPIE, 1999. http://dx.doi.org/10.1117/12.352780.

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Grevera, George J., Eric R. Feingold, and Steven C. Horii. "WWW to DICOM interface." In Medical Imaging 1996, edited by R. Gilbert Jost and Samuel J. Dwyer III. SPIE, 1996. http://dx.doi.org/10.1117/12.239238.

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Le Maitre, Amandine, Jude Fernando, Yannick Morvan, Gilles Mevel, and Emmanuel Cordonnier. "Comparative performance investigation of DICOM C-STORE and DICOM HTTP-based requests." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6943849.

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Reports on the topic "DICOM"

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Clunie, D., and E. Cordonnier. Digital Imaging and Communications in Medicine (DICOM) - Application/dicom MIME Sub-type Registration. RFC Editor, February 2002. http://dx.doi.org/10.17487/rfc3240.

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Andersson, Jonas, William Pavlicek, Rani Al-Senan, Dianna Cody, Robert Dixon, Paola Columbo, Frank Dong, et al. Estimating Patient Organ Dose with Computed Tomography: A Review of Present Methodology and Required DICOM Information A Joint Report of AAPM Task Group 246 and the European Federation of Organizations for Medical Physics (EFOMP). AAPM, August 2019. http://dx.doi.org/10.37206/190.

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Matilla, Kathy, and Guillem Marca. La función estratégica del Dircom en España en 2010. The strategic function of the “Dircom” in Spain in 2010. Revista Internacional de Relaciones Públicas, December 2011. http://dx.doi.org/10.5783/rirp-2-2011-01-11-23.

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González Molina, Sonia. El DirCom en el escenario de la convergencia: claves para una transformación. The Dircom in the scenary of convergence: keys for a transformation. Revista Internacional de Relaciones Públicas, December 2011. http://dx.doi.org/10.5783/rirp-2-2011-07-119-137.

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Ben Ghedalia, Daniel, Richard Tock, and Reed Richardson. Nutritional Evaluation of Ozonated Dicot Lignocelluloses and their Use as Silage Addictives. United States Department of Agriculture, April 1991. http://dx.doi.org/10.32747/1991.7599668.bard.

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Delmer, Deborah, Nicholas Carpita, and Abraham Marcus. Induced Plant Cell Wall Modifications: Use of Plant Cells with Altered Walls to Study Wall Structure, Growth and Potential for Genetic Modification. United States Department of Agriculture, May 1995. http://dx.doi.org/10.32747/1995.7613021.bard.

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Our previous work indicated that suspension-cultured plant cells show remarkable flexibility in altering cell wall structure in response either to growth on saline medium or in the presence of the cellulose synthesis inhibitor 2,-6-dichlorobenzonitrile (DCB). We have continued to analyze the structure of these modified cell walls to understand how the changes modify wall strength, porosity, and ability to expand. The major load-bearing network in the walls of DCB-adapted dicot cells that lack a substantial cellulose-xyloglucan network is comprised of Ca2+-bridged pectates; these cells also have an unusual and abundant soluble pectic fraction. By contrast, DCB-adapted barley, a graminaceous monocot achieves extra wall strength by enhanced cross-linking of its non-cellulosic polysaccharide network via phenolic residues. Our results have also shed new light on normal wall stucture: 1) the cellulose-xyloglucan network may be independent of other wall networks in dicot primary walls and accounts for about 70% of the total wall strength; 2) the pectic network in dicot walls is the primary determinant of wall porosity; 3) both wall strength and porosity in graminaceous monocot primary walls is greatly influenced by the degree of phenolic cross-linking between non-cellulosic polysaccharides; and 4) the fact that the monocot cells do not secrete excess glucuronoarabinoxylan and mixed-linked glucan in response to growth on DCB, suggests that these two non-cellulosic polymers do not normally interact with cellulose in a manner similar to xyloglucan. We also attempted to understand the factors which limit cell expansion during growth of cells in saline medium. Analyses of hydrolytic enzyme activities suggest that xyloglucan metabolism is not repressed during growth on NaCl. Unlike non-adapted cells, salt-adapted cells were found to lack pectin methyl esterase, but it is not clear how this difference could relate to alterations in wall expansibility. Salt-adaped cell walls contain reduced hyp and secrete two unique PRPP-related proteins suggesting that high NaCl inhibits the cross-linking of these proteins into the walls, a finding that might relate to their altered expansibility.
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Tolendino, Lawrence F., and Tan Chang Hu. Network protocol changes can improve DisCom WAN performance : evaluating TCP modifications and SCTP in the ASC tri-lab environment. Office of Scientific and Technical Information (OSTI), June 2005. http://dx.doi.org/10.2172/923153.

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E., Mairena, Lorio G., Hernández X., Wilson C., Müller P., and Larson A.M. Género y bosques en las regiones autónomas de Nicaragua: Marco jurídico. Center for International Forestry Research (CIFOR), 2012. http://dx.doi.org/10.17528/cifor/004022.

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Kral, Anthony H. Fueling the Force: Can the Division Support Command (DISCOM) Provide Sufficient Petroleum Support to Sustain a Heavy Division in the Offense. Fort Belvoir, VA: Defense Technical Information Center, October 1990. http://dx.doi.org/10.21236/ada251875.

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