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Artykuły w czasopismach na temat "Computer-Aided Tomography"
Juchems, Markus S., Andrea S. Ernst, Hans-Juergen Brambs i Andrik J. Aschoff. "Computer-aided detection in computer tomography colonography: a review". Expert Opinion on Medical Diagnostics 2, nr 5 (29.04.2008): 487–95. http://dx.doi.org/10.1517/17530059.2.5.487.
Pełny tekst źródłavan Ginneken, B. "Computer-Aided Diagnosis in Thoracic Computed Tomography". Imaging Decisions MRI 12, nr 3 (wrzesień 2008): 11–22. http://dx.doi.org/10.1111/j.1617-0830.2009.00129.x.
Pełny tekst źródłaWoodworth, B. A., A. G. Chiu, N. A. Cohen, D. W. Kennedy, B. W. O'Malley i J. N. Palmer. "Real-time computed tomography image update for endoscopic skull base surgery". Journal of Laryngology & Otology 122, nr 4 (16.08.2007): 361–65. http://dx.doi.org/10.1017/s0022215107000485.
Pełny tekst źródłaSaba, Luca, Giancarlo Caddeo i Giorgio Mallarini. "Computer-Aided Detection of Pulmonary Nodules in Computed Tomography". Journal of Computer Assisted Tomography 31, nr 4 (lipiec 2007): 611–19. http://dx.doi.org/10.1097/rct.0b013e31802e29bf.
Pełny tekst źródłaZiyad, Shabana Rasheed, Venkatachalam Radha i Thavavel Vayyapuri. "Overview of Computer Aided Detection and Computer Aided Diagnosis Systems for Lung Nodule Detection in Computed Tomography". Current Medical Imaging Formerly Current Medical Imaging Reviews 16, nr 1 (6.01.2020): 16–26. http://dx.doi.org/10.2174/1573405615666190206153321.
Pełny tekst źródłaRibeiro, Luisa, Rui Bernardes i José Cunha-Vaz. "Computer-aided Analysis of Fundus Photographs". European Ophthalmic Review 05, nr 02 (2011): 104. http://dx.doi.org/10.17925/eor.2011.05.02.104.
Pełny tekst źródłaAhmed, Mamdouhh, Mariam Kamel Salah i Nesrine Khairy. "Computer-Aided Design/Computer-Aided Manufacturing Cutting Guides for Odontectomy of Deeply Impacted Mandibular Third Molars". Open Access Macedonian Journal of Medical Sciences 6, nr 12 (19.12.2018): 2395–401. http://dx.doi.org/10.3889/oamjms.2018.371.
Pełny tekst źródłaWyber, Ron J., i Brian G. Ferguson. "Interferometry and computer‐aided tomography as an acoustic analysis tool". Journal of the Acoustical Society of America 115, nr 5 (maj 2004): 2547. http://dx.doi.org/10.1121/1.4783706.
Pełny tekst źródłaLiu, Jiamin, Sanket Pattanaik, Jianhua Yao, Evrim Turkbey, Weidong Zhang, Xiao Zhang i Ronald M. Summers. "Computer aided detection of epidural masses on computed tomography scans". Computerized Medical Imaging and Graphics 38, nr 7 (październik 2014): 606–12. http://dx.doi.org/10.1016/j.compmedimag.2014.04.007.
Pełny tekst źródłaMarom, Shlomo A., i Martin J. Linden. "Computer aided stress analysis of long bones utilizing computed tomography". Journal of Biomechanics 23, nr 5 (styczeń 1990): 399–404. http://dx.doi.org/10.1016/0021-9290(90)90294-d.
Pełny tekst źródłaRozprawy doktorskie na temat "Computer-Aided Tomography"
Fayed, Karam Ali. "Computational Methods for Image Rotation and Computer Aided Tomography Volume I: Theoretical Basi. Volume II: Computer Software". Thesis, Cranfield University, 1993. http://dspace.lib.cranfield.ac.uk/handle/1826/12145.
Pełny tekst źródłaMazinani, Mahdi. "Computer aided detection and measurement of coronary artery disease from computed tomography angiography images". Thesis, Kingston University, 2012. http://eprints.kingston.ac.uk/24527/.
Pełny tekst źródłaQi, Xin. "COMPUTER-AIDED DIAGNOSIS OF EARLY CANCERS IN THE GASTROINTESTINAL TRACT USING OPTICAL COHERENCE TOMOGRAPHY". Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1207245243.
Pełny tekst źródłaZhang, Ning. "Quantification of the proliferation of soil fungi in three dimensions using micro-computer aided tomography". Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/13691.
Pełny tekst źródłaMazeyev, Yuri. "Direction estimation on 3D-tomography images of jawbones". Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1661.
Pełny tekst źródłaThe present work expose a technique of estimation of optimal direction for placing dental implant. A volumetric computed tomography (CT) scan is used as a help of the following searches. The work offers criteria of the optimal implant placement direction and methods of evaluation on direction’s significance. The technique utilizes structure tensor to find a normal to the jawbone surface. Direction of that normal is then used as initial direction for search of optimal direction.
The technique described in the present work aimed to support doctor’s decisions during dental implantation treatment.
Sprague, Matthew J. "A Genetic Algorithm Approach to Feature Selection for Computer Aided Detection of Lung Nodules". University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1480465837455442.
Pełny tekst źródłaWu, Bangxian, i 吴邦限. "Clinical applications of imaging informatics: computer aided diagnosis of nasopharyngeal carcinoma based on PET-CTand multimedia electronic patient record system for neurosurgery". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B48521917.
Pełny tekst źródłapublished_or_final_version
Diagnostic Radiology
Master
Master of Philosophy
El, Azami Meriem. "Computer aided diagnosis of epilepsy lesions based on multivariate and multimodality data analysis". Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEI087/document.
Pełny tekst źródłaOne third of patients suffering from epilepsy are resistant to medication. For these patients, surgical removal of the epileptogenic zone offers the possibility of a cure. Surgery success relies heavily on the accurate localization of the epileptogenic zone. The analysis of neuroimaging data such as magnetic resonance imaging (MRI) and positron emission tomography (PET) is increasingly used in the pre-surgical work-up of patients and may offer an alternative to the invasive reference of Stereo-electro-encephalo -graphy (SEEG) monitoring. To assist clinicians in screening these lesions, we developed a computer aided diagnosis system (CAD) based on a multivariate data analysis approach. Our first contribution was to formulate the problem of epileptogenic lesion detection as an outlier detection problem. The main motivation for this formulation was to avoid the dependence on labelled data and the class imbalance inherent to this detection task. The proposed system builds upon the one class support vector machines (OC-SVM) classifier. OC-SVM was trained using features extracted from MRI scans of healthy control subjects, allowing a voxelwise assessment of the deviation of a test subject pattern from the learned patterns. System performance was evaluated using realistic simulations of challenging detection tasks as well as clinical data of patients with intractable epilepsy. The outlier detection framework was further extended to take into account the specificities of neuroimaging data and the detection task at hand. We first proposed a reformulation of the support vector data description (SVDD) method to deal with the presence of uncertain observations in the training data. Second, to handle the multi-parametric nature of neuroimaging data, we proposed an optimal fusion approach for combining multiple base one-class classifiers. Finally, to help with score interpretation, threshold selection and score combination, we proposed to transform the score outputs of the outlier detection algorithm into well calibrated probabilities
Narayanan, Barath Narayanan. "New Classifier Architecture and Training Methodologies for Lung Nodule Detection in Chest Radiographs and Computed Tomography". University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1508237793168873.
Pełny tekst źródłaQuatrehomme, Auréline. "Caractérisation des lésions hépatiques focales sur des acquisitions scanner multiphasiques". Thesis, Montpellier 2, 2013. http://www.theses.fr/2013MON20207/document.
Pełny tekst źródłaMedical imaging acquisition has taken benefits from recent advances and is becoming more and more important in the patient care process. New needs raise, which are related to image processing. Hepatic lesion recognition is a hot topic, especially because liver cancer is wide-spread and leads to death, most of the time because of the diagnosis which is made too late. In this context is born this manuscrit research project, a collaboration between IMAIOS company and the Laboratory of Informatics, Robotics and Micro-electronics ofMontpellier (LIRMM).This thesis presents a complete and automated system that extracts visual features from lesion images in the medical format DICOM, then differenciate them on these features.The various described contributions are: intensity normalization using healthy liver values, analysis and experimentations around new visual features, which use temporal information or tissue density, different kind of caracterisation of the lesions. This work has been done on multi-phase Computed Tomography acquisitions
Książki na temat "Computer-Aided Tomography"
Industrial Computerized Tomography Topical (1989 Seattle, Wash.). Industrial computerized tomography: Topical proceedings, July 25-27, 1989, Seattle, WA. Columbus, OH: The Society, 1989.
Znajdź pełny tekst źródłaSeminar Computertomografie (2nd : 1991 : Munich, Germany), red. Computertomografie: Vorträge des 2. Seminars, 11.-12. März 1991. Berlin: Deutsche Gesellschaft für Zerstörungsfreie Prüfung, 1991.
Znajdź pełny tekst źródłaInternational Symposium on Computerized Tomography for Industrial Applications (3rd 1994 Berlin). International Symposium on Computerized Tomography for Industrial Applications =: Internationales Symposium über Computertomografie für die Industrielle Anwendung : 8.-10. Juni 1994, Bundesministerium des Innern, Berlin. Berlin: Deutsche Gesellschaft für Zerstörungsfreie Prüfung, 1995.
Znajdź pełny tekst źródłaDrago, Carl. Implant Restorations: A Step-By-Step Guide. Wiley & Sons, Incorporated, John, 2008.
Znajdź pełny tekst źródłaDrago, Carl. Implant Restorations: A Step-By-Step Guide. Wiley & Sons, Incorporated, John, 2019.
Znajdź pełny tekst źródłaImplant Restorations: A Step-By-Step Guide. Wiley & Sons, Limited, John, 2020.
Znajdź pełny tekst źródłaDrago, Carl. Implant Restorations: A Step-By-Step Guide. Wiley & Sons, Limited, John, 2019.
Znajdź pełny tekst źródłaDrago, Carl. Implant Restorations: A Step-By-Step Guide. Wiley & Sons, Incorporated, John, 2019.
Znajdź pełny tekst źródłaDrago, Carl. Implant Restorations: A Step-By-Step Guide. Wiley & Sons, Incorporated, John, 2014.
Znajdź pełny tekst źródłaDrago, Carl. Implant Restorations: A Step-by-Step Guide. Wiley-Interscience, 2014.
Znajdź pełny tekst źródłaCzęści książek na temat "Computer-Aided Tomography"
Peixoto, Hugo, i Victor Alves. "Computer-Aided Diagnosis in Brain Computed Tomography Screening". W Advances in Data Mining. Applications and Theoretical Aspects, 62–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03067-3_7.
Pełny tekst źródłade Moura, Joaquim, Gabriela Samagaio, Jorge Novo, Pablo Charlón, María Isabel Fernández, Francisco Gómez-Ulla i Marcos Ortega. "Automatic Identification of Diabetic Macular Edema Biomarkers Using Optical Coherence Tomography Scans". W Computer Aided Systems Theory – EUROCAST 2019, 247–55. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45096-0_31.
Pełny tekst źródłaVidal, Plácido, Joaquim de Moura, Jorge Novo, Manuel G. Penedo i Marcos Ortega. "Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography Images". W Computer Aided Systems Theory – EUROCAST 2019, 270–78. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45096-0_34.
Pełny tekst źródłaAlemán-Flores, Miguel, Patricia Alemán-Flores i Rafael Fuentes-Pavón. "Analysis of Global and Local Intensity Distributions for the Segmentation of Computed Tomography Images". W Computer Aided Systems Theory – EUROCAST 2015, 494–501. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27340-2_62.
Pełny tekst źródłaBudiño, Alejandro, Lucía Ramos, Joaquim de Moura, Jorge Novo, Manuel G. Penedo i Marcos Ortega. "Robust Deep Learning-Based Approach for Retinal Layer Segmentation in Optical Coherence Tomography Images". W Computer Aided Systems Theory – EUROCAST 2022, 427–34. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-25312-6_50.
Pełny tekst źródłaLaznovsky, Jakub, Adam Brinek, Tomas Zikmund i Jozef Kaiser. "Ex-vivo Evaluation of Newly Formed Bone After Lumbar Interbody Fusion Surgery Using X-ray Micro Computed Tomography". W Medical Imaging and Computer-Aided Diagnosis, 101–10. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-16-6775-6_9.
Pełny tekst źródłaPriyanka, P., V. Norris Juliet i S. Shenbaga Devi. "Detection of Glaucoma Using Anterior Segment Optical Coherence Tomography Images". W Computer Aided Intervention and Diagnostics in Clinical and Medical Images, 293–301. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04061-1_30.
Pełny tekst źródłaArakeri, Megha P., i Ram Mohana Reddy G. "Recent Advances and Future Potential of Computer Aided Diagnosis of Liver Cancer on Computed Tomography Images". W Communications in Computer and Information Science, 246–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22786-8_31.
Pełny tekst źródłaChen, Michael M. "Computer-Aided Tomographic Thermography". W Heat Transfer in Medicine and Biology, 353–69. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-8285-0_11.
Pełny tekst źródłaSuzuki, Kenji, i Abraham H. Dachman. "Computer-Aided Diagnosis in Computed Tomographic Colonography". W Atlas of Virtual Colonoscopy, 163–82. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-5852-5_12.
Pełny tekst źródłaStreszczenia konferencji na temat "Computer-Aided Tomography"
Ladas, Kostas T., George A. Tsihrintzis i Mohammad Maleki. "Contour reconstruction in computer-aided holography". W OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.mff3.
Pełny tekst źródłaJuarez Chambi, Ronald Miguel, Carmen Kut, Jesus Rico-Jimenez, Daniel U. Campos-Delgado, Alfredo Quinones-Hinojosa, Xingde Li i Javier A. Jo. "Detection of brain tumor margins using optical coherence tomography". W Computer-Aided Diagnosis, redaktorzy Kensaku Mori i Nicholas Petrick. SPIE, 2018. http://dx.doi.org/10.1117/12.2293599.
Pełny tekst źródłaGuo, Bang Jun, Xiuxiu He, Tonghe Wang, Yang Lei, Walter J. Curran, Tian Liu, Long Jiang Zhang i Xiaofeng Yang. "Benign and malignant thyroid classification using computed tomography radiomics". W Computer-Aided Diagnosis, redaktorzy Horst K. Hahn i Maciej A. Mazurowski. SPIE, 2020. http://dx.doi.org/10.1117/12.2549087.
Pełny tekst źródłaMortazi, Aliasghar, Jayaram K. Udupa, Yubing Tong i Drew A. Torigian. "A post-acquisition standardization method for positron emission tomography images". W Computer-Aided Diagnosis, redaktorzy Horst K. Hahn i Maciej A. Mazurowski. SPIE, 2020. http://dx.doi.org/10.1117/12.2550423.
Pełny tekst źródłaBulygin, Theodor V., E. Y. Ovodkova i Michael S. Umansky. "Correction of aberrations in interferometric systems with computer-aided phase reconstuction". W Analytical Methods for Optical Tomography, redaktor Gennady G. Levin. SPIE, 1992. http://dx.doi.org/10.1117/12.131886.
Pełny tekst źródłaHe, Xiuxiu, Bang Jun Guo, Tonghe Wang, Yang Lei, Tian Liu, Long Jiang Zhang i Xiaofeng Yang. "Classification of lesion specific myocardial ischemia using cardiac computed tomography radiomics". W Computer-Aided Diagnosis, redaktorzy Horst K. Hahn i Maciej A. Mazurowski. SPIE, 2020. http://dx.doi.org/10.1117/12.2548471.
Pełny tekst źródłaFaryna, Khrystyna, Fakrul I. Tushar, Vincent M. D’Anniballe, Rui Hou, Geoffrey D. Rubin i Joseph Y. Lo. "Attention-guided classification of abnormalities in semi-structured computed tomography reports". W Computer-Aided Diagnosis, redaktorzy Horst K. Hahn i Maciej A. Mazurowski. SPIE, 2020. http://dx.doi.org/10.1117/12.2551370.
Pełny tekst źródłaHu, Mingzhe, Jing Wang, Jacob Wynne, Tian Liu i Xiaofeng Yang. "A vision-GNN framework for retinopathy classification using optical coherence tomography". W Computer-Aided Diagnosis, redaktorzy Khan M. Iftekharuddin i Weijie Chen. SPIE, 2023. http://dx.doi.org/10.1117/12.2653615.
Pełny tekst źródłaSinghal, Vanika, Sidharth Abrol, Daphne Mulot, Amy Deubig, Sandeep Dutta, Bipul Das, Masaki Ikuta i Prakhar Prakash. "Low does calcium scoring in cardiac computer tomography using deep learning". W Computer-Aided Diagnosis, redaktorzy Susan M. Astley i Weijie Chen. SPIE, 2024. http://dx.doi.org/10.1117/12.3005114.
Pełny tekst źródłaMacedo, Maysa M. G., i Dario A. B. Oliveira. "Exploring features towards semantic characterization of lung nodules in computed tomography images". W Computer-Aided Diagnosis, redaktorzy Horst K. Hahn i Kensaku Mori. SPIE, 2019. http://dx.doi.org/10.1117/12.2512661.
Pełny tekst źródłaRaporty organizacyjne na temat "Computer-Aided Tomography"
Xia, Jessie Q. Image Processing and Computer Aided Diagnosis in Computed Tomography of the Breast. Fort Belvoir, VA: Defense Technical Information Center, październik 2007. http://dx.doi.org/10.21236/ada488205.
Pełny tekst źródłaYu, Xiaoli. Improving Detection of Axillary Lymph Nodes by Computer-Aided Kinetic Feature Identification in Positron Emission Tomography. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2002. http://dx.doi.org/10.21236/ada412153.
Pełny tekst źródłaYu, Xiaoli. Improving Detection of Axillary Lymph Nodes by Computer-Aided Kinetic Feature Identification in Positron Emission Tomography. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2003. http://dx.doi.org/10.21236/ada423474.
Pełny tekst źródłaYu, Xiaoli. Improving Detection of Axillary Lymph Nodes by Computer-Aided Kinetic Feature Identification in Positron Emission Tomography. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2000. http://dx.doi.org/10.21236/ada390707.
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