Littérature scientifique sur le sujet « Medical Medical Imaging »
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Articles de revues sur le sujet "Medical Medical Imaging"
Staples, John A., et Donald A. Redelmeier. « Medical emergencies in medical imaging ». BMJ Quality & ; Safety 21, no 6 (23 mars 2012) : 446–47. http://dx.doi.org/10.1136/bmjqs-2012-000817.
Texte intégralRiederer, Stephen J., et Richard L. Ehman. « Medical Imaging ». Science 270, no 5239 (17 novembre 1995) : 1105. http://dx.doi.org/10.1126/science.270.5239.1105-a.
Texte intégralLederman, Lynne. « Medical Imaging ». BioTechniques 41, no 3 (septembre 2006) : 243–47. http://dx.doi.org/10.2144/000112252.
Texte intégralMINATO, Kotaro. « Medical Imaging ». Journal of the Society of Mechanical Engineers 107, no 1026 (2004) : 353–56. http://dx.doi.org/10.1299/jsmemag.107.1026_353.
Texte intégralWells, P. N. T. « Medical imaging ». IEE Proceedings A Physical Science, Measurement and Instrumentation, Management and Education, Reviews 134, no 2 (1987) : 97. http://dx.doi.org/10.1049/ip-a-1.1987.0014.
Texte intégralElliott, Alex. « Medical imaging ». Nuclear Instruments and Methods in Physics Research Section A : Accelerators, Spectrometers, Detectors and Associated Equipment 546, no 1-2 (juillet 2005) : 1–13. http://dx.doi.org/10.1016/j.nima.2005.03.127.
Texte intégralBrody, Herb. « Medical imaging ». Nature 502, no 7473 (octobre 2013) : S81. http://dx.doi.org/10.1038/502s81a.
Texte intégralBarker, M. C. J. « Medical imaging ». Physics Education 31, no 2 (mars 1996) : 70–75. http://dx.doi.org/10.1088/0031-9120/31/2/013.
Texte intégralKreel, L. « Medical imaging. » Postgraduate Medical Journal 67, no 786 (1 avril 1991) : 334–46. http://dx.doi.org/10.1136/pgmj.67.786.334.
Texte intégralIlles, Judy. « Medical imaging ». Academic Radiology 11, no 7 (juillet 2004) : 721–23. http://dx.doi.org/10.1016/j.acra.2004.05.009.
Texte intégralThèses sur le sujet "Medical Medical Imaging"
Carlak, Hamza Feza. « Medical Electro-thermal Imaging ». Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614168/index.pdf.
Texte intégrals health by imaging tissue conductivity distribution. Due to metabolic heat generation values and thermal characteristics that differ from tissue to tissue, thermal imaging has started to play an important role in medical diagnosis. To increase the temperature contrast in thermal images, the characteristics of the two imaging modalities can be combined. This is achieved by implementing thermal imaging applying electrical currents from the body surface within safety limits (i.e., thermal imaging in active mode). Electrical conductivity of tissues changes with frequency, so it is possible to obtain more than one thermal image for the same body. Combining these images, more detailed information about the tumor tissue can be acquired. This may increase the accuracy in diagnosis while tumor can be detected at deeper locations. Feasibility of the proposed technique is investigated with analytical and numerical simulations and experimental studies. 2-D and 3-D numerical models of the female breast are developed and feasibility work is implemented in the frequency range of 10 kHz and 800 MHz. Temporal and spatial temperature distributions are obtained at desired depths. Thermal body-phantoms are developed to simulate the healthy breast and tumor tissues in experimental studies. Thermograms of these phantoms are obtained using two different infrared cameras (microbolometer uncooled and cooled Quantum Well Infrared Photodetectors). Single and dual tumor tissues are determined using the ratio of uniform (healthy) and inhomogeneous (tumor) images. Single tumor (1 cm away from boundary) causes 55 °
mC temperature increase and dual tumor (2 cm away from boundary) leads to 50 °
mC temperature contrast. With multi-frequency current application (in the range of 10 kHz-800 MHz), the temperature contrast generated by 3.4 mm3 tumor at 9 mm depth can be detected with the state-of-the-art thermal imagers.
Winder, Robert John. « Medical imaging : tissue volume measurement & ; medical rapid prototyping ». Thesis, University of Ulster, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399689.
Texte intégralSmith, Rhodri. « Motion correction in medical imaging ». Thesis, University of Surrey, 2017. http://epubs.surrey.ac.uk/841883/.
Texte intégralYe, Luming. « Perception Metrics in Medical Imaging ». Thesis, KTH, Medicinsk teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-102186.
Texte intégralFonseca, Francisco Xavier dos Santos. « GPU power for medical imaging ». Master's thesis, Universidade de Aveiro, 2011. http://hdl.handle.net/10773/7853.
Texte intégralA aplicação CapView utiliza um algoritmo de classificação baseado em SVM (Support Vector Machines) para automatizar a segmentação topográfica de vídeos do trato intestinal obtidos por cápsula endoscópica. Este trabalho explora a aplicação de processadores gráficos (GPU) para execução paralela desse algoritmo. Após uma etapa de otimização da versão sequencial, comparou-se o desempenho obtido por duas abordagens: (1) desenvolvimento apenas do código do lado do host, com suporte em bibliotecas especializadas para a GPU, e (2) desenvolvimento de todo o código, incluindo o que é executado no GPU. Ambas permitiram ganhos (speedups) significativos, entre 1,4 e 7 em testes efetuados com GPUs individuais de vários modelos. Usando um cluster de 4 GPU do modelo de maior capacidade, conseguiu-se, em todos os casos testados, ganhos entre 26,2 e 27,2 em relação à versão sequencial otimizada. Os métodos desenvolvidos foram integrados na aplicação CapView, utilizada em rotina em ambientes hospitalares.
The CapView application uses a classification algorithm based on SVMs (Support Vector Machines) for automatic topographic segmentation of gastrointestinal tract videos obtained through capsule endoscopy. This work explores the use graphic processors (GPUs) to parallelize the segmentation algorithm. After an optimization phase of the sequential version, two new approaches were analyzed: (1) development of the host code only, with support of specialized libraries for the GPU, and (2) development of the host and the device’s code. The two approaches caused substantial gains, with speedups between 1.4 and 7 times in tests made with several different individual GPUs. In a cluster of 4 GPUs of the most capable model, speedups between 26.2 and 27.2 times were achieved, compared to the optimized sequential version. The methods developed were integrated in the CapView application, used in routine in medical environments.
Zhang, Hongbin. « Signal detection in medical imaging ». Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/290512.
Texte intégralCarr, Jonathan. « Surface reconstruction in 3D medical imaging ». Thesis, University of Canterbury. Electrical Engineering, 1996. http://hdl.handle.net/10092/6533.
Texte intégralSilva, Luís António Bastião. « Medical imaging services supported on cloud ». Master's thesis, Universidade de Aveiro, 2011. http://hdl.handle.net/10773/7245.
Texte intégralHoje em dia, as instituições de cuidados de saúde, utilizam a telemedicina para suportar ambientes colaborativos. Na área da imagem médica digital, a quantidade de dados tem crescido substancialmente nos últimos anos, requerendo mais infraestruturas para fornecer um serviço com a qualidade desejada. Os computadores e dispositivos com acesso à Internet estão acessíveis em qualquer altura e em qualquer lugar, criando oportunidades para partilhar e utilizar recursos online. Uma enorme quantidade de processamento computacional e armazenamento são utilizados como uma comodidade no quotidiano. Esta dissertação apresenta uma plataforma para suportar serviços de telemedicina sobre a cloud, permitindo que aplicações armazenem e comuniquem facilmente, utilizando qualquer fornecedor de cloud. Deste modo, os programadores não necessitam de se preocupar onde os recursos vão ser instalados a as suas aplicações não ficam limitadas a um único fornecedor. Foram desenvolvidas duas aplicações para tele-imagiologia com esta plataforma: repositório de imagens médicas e uma infraestrutura de comunicações entre centros hospitalares. Finalmente, a arquitetura desenvolvida é genérica e flexível permitindo facilmente a sua expansão para outras áreas aplicacionais e outros serviços de cloud.
Healthcare institutions resort largely, nowadays, to telemedicine in order to support collaborative environments. In the medical imaging area, the huge amount of medical volume data has increased over the past few years, requiring high-performance infrastructures to provide services with required quality. Computing devices and Internet access are now available anywhere and at anytime, creating new opportunities to share and use online resources. A tremendous amount of ubiquitous computational power and an unprecedented number of Internet resources and services are used every day as a normal commodity. This thesis presents a telemedicine service platform over the Cloud that allows applications to store information and to communicate easier, using any Internet cloud provider. With this platform, developers do not concern where the resources will be deployed and the applications will not be restricted to a specific cloud vendor. Two tele-imagiologic applications were developed along with this platform: a medical imaging repository and an interinstitutional communications infrastructure. Lastly, the architecture developed is generic and flexible to expand to other application areas and cloud services.
Alzubaidi, Laith. « Deep learning for medical imaging applications ». Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/227812/1/Laith_Alzubaidi_Thesis.pdf.
Texte intégralMARCO, M. S. DI. « TOWARDS AN EPISTEMOLOGY OF MEDICAL IMAGING ». Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/274203.
Texte intégralThe objective of this dissertation is to contribute to the development of an epistemology of medical imaging. My central thesis is that medical imaging does not merely produce more or less accurate pictures of the inner organs, it rather transforms the living body into a scientific object by changing its very visibility. The imaging apparatus turns the body into a visual object that can be observed under experimental conditions: unlike the real body, it can be filed, retrieved, shared, measured and manipulated in several ways. This main thesis is accompanied by two others: first, diagnostic images, as all scientific images, are actual cognitive instruments, epistemic objects inscribed within theoretical contexts and experimental practices. Second, an image of the inner body has diagnostic meaning and value only in the scope of a specific conceptualization of the body and its ailments. Accordingly, if we are to develop an epistemology of medical imaging, we cannot limit our analysis to diagnostic images qua images, we also have to understand them qua diagnostic instruments. This is why at in the first chapter of the dissertation I take into examination the historical and conceptual conditions of possibility of radiography -- the first medical imaging technology, invented in 1895. My aim is to understand what medical theories and practices had to be at work in the nineteenth century, for those shadow-images produced by the X-ray apparatus to be perceived and employed as diagnostic devices. I argue that the diagnostic relevance of radiography is rooted in the conceptualization of body, disease and diagnosis put forward by clinical anatomy already at the end of the eighteenth century. I also defend the idea that the stethoscope, developed in 1816, was the material and intellectual predecessor of medical imaging, because it introduced a primitive form of mediated perception in medical diagnosis, and allowed the clinician to explore from the outside the inner body of the living patient, extracting signs of illness. The stethoscope was only the first of a vast array of instruments invented in the nineteenth century to visualize different aspects of the inner morphology and physiology of the living body. Each of these instruments fulfilled specific diagnostic aims and posed distinct epistemological problems, but all of them shared some commonalities: they were meant to replace the subjective sensations of patients and doctors with objective indices of health and disease; they created visual records of the inner body that could be filed, retrieved and shared among physicians; they required the development of a specialized language agreed upon by a community of experts; they created a progressive physical separation between the body of the patient and the body of the physician. It was in this complex scenario of medical practices, objects, images and ideas that radiography appeared and progressively acquired its diagnostic function. In the second chapter I take into account the early developments of medical photography in order to understand how the first technology for the production of mechanical images entered and influenced the domain of medicine. The main theoretical references in this chapter are Charles Sanders Peirce's semiotics, in particular, his classification of signs in indices, icons and symbols, and Walter Benjamin's reflections on the photographic series (mechanical production and reproduction of an image and of the body it represents), on the intrinsic analytic and dissecting potential of photography (the photographer as a surgeon), and on the optical unconscious (photography as a prosthesis that enriches and transforms our sensorial experience). Drawing on these authors, and analyzing the works of early physicians-photographers in psychiatry, dermatology, neurology and physiology, I show that the photographic series collected in medical journals, manuals and hospital archives, produced a clinical gaze in the Foucauldian sense. I also argue that the photographic series was part of a larger experimental apparatus, which encompassed the patient, the camera and the observer, and whose aim was to turn the body and disease into a visual object available for scientific analysis. In the third chapter I discuss the problem of the invisible referent, that is, I analyze the processes whereby photographs that reveal invisible phenomena are endowed with meaning. This is likely to be the fundamental problem of all scientific imaging. When the referent of a picture is invisible, the iconic mode of signification fails, because in this case the image produced by the mechanical or electronic apparatus does not look like anything we already know, it resembles nothing. So, how do we know that the object we see in the photograph -- e.g., a cell or a tubercular lesion -- is really there and does really look like that? Drawing on the theoretical analysis developed in the previous chapter, I maintain that the visualization of the invisible entails a peculiar combination of the indexical, iconic and symbolic modes of signification. My reasoning opposes Lorraine Daston and Peter Galison's idea of mechanical objectivity, and demonstrates that their notion of mechanical objectivity as the moralizing suppression of subjectivity is a caricature of the actual ideas and practices developed by the scientists of the nineteenth century to deal with the problem of visualizing the invisible. The argument is articulated in three moments, corresponding to the analysis of the problem of objectivity and image signification in microphotography, chronophotography, and radiography. In the fourth chapter I argue that images are cognitive tools and that representation and observation are never an act of automated repetition, they always entail a creative component. As in the previous chapter, part of my discourse is built in contrast with Daston and Galison, challenging their claims concerning the passive nature of representation. For these authors, until the development of digital technologies for image manipulation, scientific images were mere re-presentations of the world, focused on copying nature. Computer images, on the contrary, are presentations, because the observer can virtually manipulate them so that they show the object in ever changing ways. I criticize this classification of scientific images with historical and theoretical arguments. From the historical point of view, I show that at least since the sixteenth century there have been attempts to create images that can be actually manipulated by the observer. From the theoretical perspective, I draw on a variety of literature spanning from art theory to neuroscience, to demonstrate that the very notion of a passive representation is unsustainable, because images always engage the observer in an embodied act of perception, which elicits not only visual, but also tactile sensations and motor reactions. Moreover, I argue that Daston and Galison's emphasis on nanoimaging as the only technology that allows manipulating the object of study during the process of image production is misleading. In fact, even when they do not reach the peaks of technological sophistication that characterizes nanoimages, scientific images are the result of some manipulation of the natural object they represent. A scientific image cannot be a passive copy of nature, because it is part of an experimental praxis, whose goal is to understand natural phenomena, not just to reproduce them. To corroborate this idea I explore actual scientific practices of image signification, taking into account written documents (semiotic analysis of a radiology article) and material practices (laboratory ethnography describing the interpretation of electrophoresis images in a molecular biology laboratory, and description of an example of signification of electron microscopy pictures). From this analysis three remarks can be put forward: (1) the process of signification of scientific images has a distributed character, because it can involve different persons, objects and activities; (2) scientific images can be considered experimental tools, in the sense that scientists and physicians handle them in several forms in order to explore different aspects of their object of study; (3) scientific images are to be understood as controlled, artificial phenomena produced with the aim of redefining the visibility of natural objects. In order to clarify this latter idea, in the final chapter I introduce Gaston Bachelard's concept of phenomenotechnique. Although the idea of phenomenotechnique cannot be directly applied to medical imaging, there are two characterizing elements of this concept that provide important insights for conceptualizing medical imaging. The first is the idea that in order to study a natural phenomenon, scientists must previously transform it into a scientific object. The second, closely related to the former, is that scientific experience is by necessity mediated, and such mediation has both an intellectual and material character. This means that the development of instruments and new technologies is not a second-order product of science, it is part and parcel of the scientific process. Technology is embedded into science, because our scientific grasping of the world is necessarily mediated by instruments; scientific instruments, in turn, are materializations of a vast body of scientific knowledge and practices (in the case of digital imaging this knowledge has an eminently mathematical character). Thus, science and technology are reciprocally constituted. On these grounds I propose a description of medical imaging in terms of phenomenotechnique, using this concept as a key-word around which to reorganize the ideas previously discussed. Firstly, I resort to the concept of phenomenotechnique to gain insights into how diagnostic images mediate the physician's sensory and intellectual experience. Second, I give an account of diagnostic images as artificial phenomena (visual reconfigurations of non-visual signals) that work as simulations of the patient's body, and that reify different domains of knowledge (from medicine to physics and engineering). Finally, I argue that the proper and efficient signification of a diagnostic image requires a phenomenotechnique of the observer. To recognize the signs of disease in an image of the inner body, one has to master the explicit and implicit rules necessary to make sense of the novel sensory domain produced by the technological apparatus. This implies abandoning spontaneous modes of perception and signification to engage in a process of educated perception. The expert viewer goes through a formal and informal training that deeply transforms natural vision, by placing the act of watching within a wide epistemic network that encompasses both theoretical and practical knowledge.
Livres sur le sujet "Medical Medical Imaging"
Wolbarst, Anthony B., Patrizio Capasso et Andrew R. Wyant. Medical Imaging. Hoboken, NJ, USA : John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118480267.
Texte intégralIniewski, Krzysztof, dir. Medical Imaging. Hoboken, NJ, USA : John Wiley & Sons, Inc., 2009. http://dx.doi.org/10.1002/9780470451816.
Texte intégralFarris, Naff Clay, dir. Medical imaging. San Diego, Calif : Greenhaven Press, 2006.
Trouver le texte intégralMedical imaging. Oxford : Oxford University Press, 1999.
Trouver le texte intégral1949-, LeVine Harry, dir. Medical imaging. Santa Barbara, Calif : ABC-CLIO, 2010.
Trouver le texte intégralErondu, Okechukwu Felix. Medical imaging. Rijeka : InTech, 2011.
Trouver le texte intégralZager, Masha. Medical imaging. Norwalk, CT : Business Communications Co., 2002.
Trouver le texte intégralShukla, Ashutosh Kumar. Medical Imaging Methods. Boca Raton : CRC Press, 2021. http://dx.doi.org/10.1201/9781003112068.
Texte intégralBharath, A. A. Introductory Medical Imaging. Cham : Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-01631-8.
Texte intégralMaier, Andreas, Stefan Steidl, Vincent Christlein et Joachim Hornegger, dir. Medical Imaging Systems. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96520-8.
Texte intégralChapitres de livres sur le sujet "Medical Medical Imaging"
Krupinski, Elizabeth A. « Medical Imaging ». Dans Handbook of Visual Display Technology, 545–58. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-14346-0_186.
Texte intégralKrupinski, Elizabeth A. « Medical Imaging ». Dans Handbook of Visual Display Technology, 1–12. Berlin, Heidelberg : Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-35947-7_186-1.
Texte intégralDallas, William J. « Medical Imaging ». Dans ASST ’87 6. Aachener Symposium für Signaltheorie, 302–9. Berlin, Heidelberg : Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-73015-3_57.
Texte intégralHoskins, Peter R., Stephen F. Keevil et Saeed Mirsadraee. « Medical Imaging ». Dans Cardiovascular Biomechanics, 163–91. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46407-7_9.
Texte intégralMajumdar, Angshul. « Medical Imaging ». Dans Compressed Sensing for Engineers, 151–99. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis, [2019] | Series : Devices, circuits, and systems : CRC Press, 2018. http://dx.doi.org/10.1201/9781351261364-10.
Texte intégralOlson, Tim. « Medical Imaging ». Dans Applied Fourier Analysis, 255–77. New York, NY : Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7393-4_9.
Texte intégralJin, Miao, Xianfeng Gu, Ying He et Yalin Wang. « Medical Imaging ». Dans Conformal Geometry, 175–251. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75332-4_9.
Texte intégralSargsyan, Ashot E. « Medical Imaging ». Dans Principles of Clinical Medicine for Space Flight, 181–207. New York, NY : Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-68164-1_9.
Texte intégralGupta, Tapan K. « Medical Imaging ». Dans Radiation, Ionization, and Detection in Nuclear Medicine, 187–250. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34076-5_4.
Texte intégralEpstein, Charles L. « Medical Imaging ». Dans Encyclopedia of Applied and Computational Mathematics, 881–86. Berlin, Heidelberg : Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-540-70529-1_66.
Texte intégralActes de conférences sur le sujet "Medical Medical Imaging"
STANKOVIĆ, SLOBODANKA, et OLIVERA KLISURIĆ. « MEDICAL IMAGING — INDISPENSABLE MEDICAL TOOLS ». Dans Proceedings of the 9th International Symposium on Interdisciplinary Regional Research. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812834409_0001.
Texte intégralJourneau, P. « Imaging medical imaging ». Dans SPIE Medical Imaging, sous la direction de Tessa S. Cook et Jianguo Zhang. SPIE, 2015. http://dx.doi.org/10.1117/12.2084490.
Texte intégralPrinz, Michael, Manfred Gengler et Ernst Schuster. « Medical imaging ». Dans Sixth International Workshop on Digital Image Processing and Computer Graphics, sous la direction de Emanuel Wenger et Leonid I. Dimitrov. SPIE, 1998. http://dx.doi.org/10.1117/12.301390.
Texte intégralDonjon, J., T. Tsujiuchi et L. Guyot. « Medical Imaging ». Dans International Topical Meeting on Image Detection and Quality, sous la direction de Lucien F. Guyot. SPIE, 1987. http://dx.doi.org/10.1117/12.966739.
Texte intégral« Medical Imaging ». Dans 2006 IEEE International Workshop on Medical Measurement and Applications. IEEE, 2006. http://dx.doi.org/10.1109/memea.2006.1644459.
Texte intégral« Medical Imaging Conference ». Dans 2008 IEEE Nuclear Science Symposium and Medical Imaging conference (2008 NSS/MIC). IEEE, 2008. http://dx.doi.org/10.1109/nssmic.2008.4774078.
Texte intégralVenson, Jose E., Jean Berni, Carlos S. Maia, A. Marques da Silva, Marcos d'Ornelas et Anderson Maciel. « Medical imaging VR ». Dans VRST '16 : 22th ACM Symposium on Virtual Reality Software and Technology. New York, NY, USA : ACM, 2016. http://dx.doi.org/10.1145/2993369.2996333.
Texte intégralDalton, B. L., et G. du Boulay. « Medical Image Matching ». Dans Medical Imaging II, sous la direction de Roger H. Schneider et Samuel J. Dwyer III. SPIE, 1988. http://dx.doi.org/10.1117/12.968667.
Texte intégralGoeringer, Fred, Seong K. Mun et Barbara D. Kerlin. « Digital Medical Imaging : Implementation Strategy for the Defense Medical Establishment ». Dans 1989 Medical Imaging, sous la direction de Samuel J. Dwyer III, R. Gilbert Jost et Roger H. Schneider. SPIE, 1989. http://dx.doi.org/10.1117/12.953358.
Texte intégralNevitt, Mark, David A. Belforte et Morris R. Levitt. « Job Shop Market ». Dans Medical Imaging. SPIE, 1989. http://dx.doi.org/10.1117/12.971035.
Texte intégralRapports d'organisations sur le sujet "Medical Medical Imaging"
Keto, E., et S. Libby. Medical imaging with coded apertures. Office of Scientific and Technical Information (OSTI), juin 1995. http://dx.doi.org/10.2172/100008.
Texte intégralTrenbath, Kim, Omkar Ghatpande et Amy LeBar. Medical Imaging Equipment Energy Efficiency. Office of Scientific and Technical Information (OSTI), mars 2023. http://dx.doi.org/10.2172/1968453.
Texte intégralChapman, Leroy. Application of Diffraction Enhanced Imaging to Medical Imaging. Fort Belvoir, VA : Defense Technical Information Center, juin 2001. http://dx.doi.org/10.21236/ada395133.
Texte intégralBarrett, Harrison H. Information Processing in Medical Imaging Meeting (IPMI). Fort Belvoir, VA : Defense Technical Information Center, septembre 1993. http://dx.doi.org/10.21236/ada278488.
Texte intégralHeese, V., N. Gmuer et W. Thomlinson. A survey of medical diagnostic imaging technologies. Office of Scientific and Technical Information (OSTI), octobre 1991. http://dx.doi.org/10.2172/5819036.
Texte intégralHeese, V., N. Gmuer et W. Thomlinson. A survey of medical diagnostic imaging technologies. Office of Scientific and Technical Information (OSTI), octobre 1991. http://dx.doi.org/10.2172/10121224.
Texte intégralChaple, Ivis. Production and Purification of Radiometals for Medical Imaging. Office of Scientific and Technical Information (OSTI), janvier 2022. http://dx.doi.org/10.2172/1843150.
Texte intégralJin, Zheming. Improving the performance of medical imaging applications using SYCL. Office of Scientific and Technical Information (OSTI), mai 2020. http://dx.doi.org/10.2172/1630290.
Texte intégralLee, Hyoung-Koo. Application of a-Si:H radiation detectors in medical imaging. Office of Scientific and Technical Information (OSTI), juin 1995. http://dx.doi.org/10.2172/100242.
Texte intégralJin, Zheming. Improving the Performance of Medical Imaging Applications using SYCL. Office of Scientific and Technical Information (OSTI), décembre 2019. http://dx.doi.org/10.2172/1577129.
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