Academic literature on the topic 'Computer-Aided Tomography'

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Journal articles on the topic "Computer-Aided Tomography"

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Juchems, Markus S., Andrea S. Ernst, Hans-Juergen Brambs, and Andrik J. Aschoff. "Computer-aided detection in computer tomography colonography: a review." Expert Opinion on Medical Diagnostics 2, no. 5 (2008): 487–95. http://dx.doi.org/10.1517/17530059.2.5.487.

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van Ginneken, B. "Computer-Aided Diagnosis in Thoracic Computed Tomography." Imaging Decisions MRI 12, no. 3 (2008): 11–22. http://dx.doi.org/10.1111/j.1617-0830.2009.00129.x.

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Woodworth, B. A., A. G. Chiu, N. A. Cohen, D. W. Kennedy, B. W. O'Malley, and J. N. Palmer. "Real-time computed tomography image update for endoscopic skull base surgery." Journal of Laryngology & Otology 122, no. 4 (2007): 361–65. http://dx.doi.org/10.1017/s0022215107000485.

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AbstractIntroduction:The development of computer-aided systems for endoscopic sinus surgery has enabled surgical navigation through diseased or surgically altered sinus anatomy with increased confidence. However, conventional computer-aided systems do not provide intra-operative updated computed tomography imaging. We describe the technical aspects of the xCAT™, a new intra-operative mobile volume computed tomography scanner.Technical report:A patient with a malignant melanoma unwittingly removed at another hospital underwent surgery for removal of the lateral nasal wall and directed biopsies,
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Saba, Luca, Giancarlo Caddeo, and Giorgio Mallarini. "Computer-Aided Detection of Pulmonary Nodules in Computed Tomography." Journal of Computer Assisted Tomography 31, no. 4 (2007): 611–19. http://dx.doi.org/10.1097/rct.0b013e31802e29bf.

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Ziyad, Shabana Rasheed, Venkatachalam Radha, and 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, no. 1 (2020): 16–26. http://dx.doi.org/10.2174/1573405615666190206153321.

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Background: Lung cancer has become a major cause of cancer-related deaths. Detection of potentially malignant lung nodules is essential for the early diagnosis and clinical management of lung cancer. In clinical practice, the interpretation of Computed Tomography (CT) images is challenging for radiologists due to a large number of cases. There is a high rate of false positives in the manual findings. Computer aided detection system (CAD) and computer aided diagnosis systems (CADx) enhance the radiologists in accurately delineating the lung nodules. Objectives: The objective is to analyze CAD a
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Ribeiro, Luisa, Rui Bernardes, and José Cunha-Vaz. "Computer-aided Analysis of Fundus Photographs." European Ophthalmic Review 05, no. 02 (2011): 104. http://dx.doi.org/10.17925/eor.2011.05.02.104.

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Colour fundus photography is the most frequently used imaging modality because it is non-invasive, well accepted by patients and above all, because it allows documentation and automated analysis of the ophthalmoscopic examination. Colour fundus photography is considered crucial for diabetic retinopathy management to identify disease and its progression in clinical practice. This article focuses on automated computer-aided analysis of fundus digital photographs with special emphasis on microaneurysm dynamics. Together with optical coherence tomography measurements of extracellular space and ret
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Ahmed, Mamdouhh, Mariam Kamel Salah, and 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, no. 12 (2018): 2395–401. http://dx.doi.org/10.3889/oamjms.2018.371.

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AIM: To evaluate a new technique for surgical removal of deeply impacted mandibular third molars (DIMTM), using computer-guided cutting guide to maintain inferior alveolar nerve (IAN) integrity and the covering buccal bone.
 PATIENTS AND METHODS: Eighteen cases indicated for removal of DIMTM. Cone-beam Computed Tomography (CBCTs) used to determine the tooth’s relation to the IAN. Computer-guided software used for fabrication of surgical cutting guide stent to expose the impacted tooth and repositioning of bone after odontectomy without fixation. Clinical assessment included a neurosensory
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Kirpatovskaya, L. Ye, T. A. Akhadov, L. K. Dzeranova, et al. "Potentialities of computer-aided tomography and magnetic imaging in the diagnosis of hypophyseal prolactinomas." Problems of Endocrinology 41, no. 1 (1995): 14–18. http://dx.doi.org/10.14341/probl11335.

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Fifty-seven women with the hyperoprolactinemic syndrome coursing from 6 months to 13 years were examined. Total blood serum immunoreactive prolactin was measured, and craniograms made in all the patients, computer-aided tomography of the head was carried out in 49, and magnetic imaging in 38 patients. A total of 29 micro-, 16 macroadenomas, 1 chaniopharyngiomas, and 2 cases of “empty sella turcica” were revealed. Efficacy of prolactinoma detection by computer-aided tomography and magnetic imaging was 63.2 and 78.9%, respectively. Hence, these methods may effectively diagnose hypophyseal prolac
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Wyber, Ron J., and Brian G. Ferguson. "Interferometry and computer‐aided tomography as an acoustic analysis tool." Journal of the Acoustical Society of America 115, no. 5 (2004): 2547. http://dx.doi.org/10.1121/1.4783706.

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Liu, Jiamin, Sanket Pattanaik, Jianhua Yao, et al. "Computer aided detection of epidural masses on computed tomography scans." Computerized Medical Imaging and Graphics 38, no. 7 (2014): 606–12. http://dx.doi.org/10.1016/j.compmedimag.2014.04.007.

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Dissertations / Theses on the topic "Computer-Aided Tomography"

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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.

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This thesis, describes work whose principal goal has been to research and iden- tify an optimum algorithm for computing the Radon transform - optimum in the sense of minimum CPU time for maximum image fidelity. This transform is the basis for a wide range of applications which are either directly or indirectly associ- ated with Computer Aided Tomography. It has therefore been important to try and identify an optimum computational technique for the evaluation of this transform. A central theme to the computational techniques reported in this thesis has been the digital image rotation for which
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Mazinani, 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/.

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Coronary artery disease is one of the most pernicious diseases around the world and early identification of vascular disease can help to reduce morbidity and mortality. Assessment of the degree of vascular obstruction, or stenosis, is critical for classifying the risks of the future vascular events. Automatic detection and quantification of stenosis are important in assessing coronary artery disease from medical imagery, especially for disease progression. Important factors affecting the reproducability and robustness of accuarate quantification arise from the partial volume effect and other n
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Qi, 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.

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Zhang, 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.

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Good soil structure is important for sustaining agricultural production and preserving functions of the soil ecosystem. Soil aggregation is a critically important component of soil structure. Stable aggregates enable water infiltration, gas exchange for biological activities of plant roots and microorganisms, living space and surfaces for soil microbes, and contribute to stabilization of organic matter and storage of organic carbon (OC) in soil. Soil aggregation process involves fine roots, organic matter and fungal hyphae. Hyphal proliferation is essential for soil aggregation, and sequestrat
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Mazeyev, 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.

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<p>The 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.</p><p>The technique described in the present work aimed to support doctor’s decisions during dental implantation t
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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.

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Wu, Bangxian, and 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.

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Medical imaging informatics is one of the important research areas in radiology that studies how information available on medical images is retrieved, analyzed, and enhanced. Recent development in medical imaging informatics has resulted in improvement of diagnostic accuracy based on imaging examinations, as well as efficiency in clinical workflow. Computer aided diagnosis (CAD) and electronic patient record system (ePR) are both topics in medical imaging informatics that have matured from research concepts into commercially available computerized systems in clinical environment. The current
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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.

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Environ 150.000 personnes souffrent en France d'une épilepsie partielle réfractaire à tous les médicaments. La chirurgie, qui constitue aujourd’hui le meilleur recours thérapeutique nécessite un bilan préopératoire complexe. L'analyse de données d'imagerie telles que l’imagerie par résonance magnétique (IRM) anatomique et la tomographie d’émission de positons (TEP) au FDG (fluorodéoxyglucose) tend à prendre une place croissante dans ce protocole, et pourrait à terme limiter de recourir à l’électroencéphalographie intracérébrale (SEEG), procédure très invasive mais qui constitue encore la techn
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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.

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Quatrehomme, Auréline. "Caractérisation des lésions hépatiques focales sur des acquisitions scanner multiphasiques." Thesis, Montpellier 2, 2013. http://www.theses.fr/2013MON20207/document.

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L'évolution des techniques d'acquisition des imageries médicales et leur importance de plus en plus grande dans la prise en charge du patient (diagnostic, préparation d'intervention, suivi, etc.), font émerger de nouveaux besoins autour du traitement informatique des images. La reconnaissance du type de lésions hépatiques est un grand enjeu, notamment car le cancer du foie, létal et très répandu, est souvent diagnostiqué trop tard pour sauver le patient. C'est dans ce cadre qu'est né le projet de recherche de ce manuscrit, fruit d'une collaboration entre la société IMAIOS et le Laboratoire d'I
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Books on the topic "Computer-Aided Tomography"

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Industrial Computerized Tomography Topical (1989 Seattle, Wash.). Industrial computerized tomography: Topical proceedings, July 25-27, 1989, Seattle, WA. The Society, 1989.

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International 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. Deutsche Gesellschaft für Zerstörungsfreie Prüfung, 1995.

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Seminar Computertomografie (2nd : 1991 : Munich, Germany), ed. Computertomografie: Vorträge des 2. Seminars, 11.-12. März 1991. Deutsche Gesellschaft für Zerstörungsfreie Prüfung, 1991.

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Drago, Carl. Implant Restorations: A Step-By-Step Guide. Wiley & Sons, Incorporated, John, 2008.

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Drago, Carl. Implant Restorations: A Step-By-Step Guide. Wiley & Sons, Incorporated, John, 2019.

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Drago, Carl. Implant Restorations: A Step-By-Step Guide. Wiley & Sons, Incorporated, John, 2014.

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Drago, Carl. Implant Restorations: A Step-By-Step Guide. Wiley & Sons, Limited, John, 2019.

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Drago, Carl. Implant Restorations: A Step-By-Step Guide. Wiley & Sons, Incorporated, John, 2019.

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Drago, Carl. Implant Restorations: A Step-By-Step Guide. Wiley & Sons, Incorporated, John, 2014.

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Drago, Carl. Implant Restorations: A Step-by-Step Guide. Wiley-Interscience, 2014.

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Book chapters on the topic "Computer-Aided Tomography"

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Peixoto, Hugo, and Victor Alves. "Computer-Aided Diagnosis in Brain Computed Tomography Screening." In Advances in Data Mining. Applications and Theoretical Aspects. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03067-3_7.

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de Moura, Joaquim, Gabriela Samagaio, Jorge Novo, et al. "Automatic Identification of Diabetic Macular Edema Biomarkers Using Optical Coherence Tomography Scans." In Computer Aided Systems Theory – EUROCAST 2019. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45096-0_31.

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Vidal, Plácido, Joaquim de Moura, Jorge Novo, Manuel G. Penedo, and Marcos Ortega. "Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography Images." In Computer Aided Systems Theory – EUROCAST 2019. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45096-0_34.

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Alemán-Flores, Miguel, Patricia Alemán-Flores, and Rafael Fuentes-Pavón. "Analysis of Global and Local Intensity Distributions for the Segmentation of Computed Tomography Images." In Computer Aided Systems Theory – EUROCAST 2015. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27340-2_62.

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Budiño, Alejandro, Lucía Ramos, Joaquim de Moura, Jorge Novo, Manuel G. Penedo, and Marcos Ortega. "Robust Deep Learning-Based Approach for Retinal Layer Segmentation in Optical Coherence Tomography Images." In Computer Aided Systems Theory – EUROCAST 2022. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-25312-6_50.

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Laznovsky, Jakub, Adam Brinek, Tomas Zikmund, and Jozef Kaiser. "Ex-vivo Evaluation of Newly Formed Bone After Lumbar Interbody Fusion Surgery Using X-ray Micro Computed Tomography." In Medical Imaging and Computer-Aided Diagnosis. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-16-6775-6_9.

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Priyanka, P., V. Norris Juliet, and S. Shenbaga Devi. "Detection of Glaucoma Using Anterior Segment Optical Coherence Tomography Images." In Computer Aided Intervention and Diagnostics in Clinical and Medical Images. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04061-1_30.

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Arakeri, Megha P., and Ram Mohana Reddy G. "Recent Advances and Future Potential of Computer Aided Diagnosis of Liver Cancer on Computed Tomography Images." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22786-8_31.

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Chen, Michael M. "Computer-Aided Tomographic Thermography." In Heat Transfer in Medicine and Biology. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-8285-0_11.

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Suzuki, Kenji, and Abraham H. Dachman. "Computer-Aided Diagnosis in Computed Tomographic Colonography." In Atlas of Virtual Colonoscopy. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-5852-5_12.

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Conference papers on the topic "Computer-Aided Tomography"

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v. Dresky, Caroline, Claus von der Burchard, Julia Andresen, et al. "Visual acuity assessment from optical coherence tomography images using the foundation model RETFound." In Computer-Aided Diagnosis, edited by Susan M. Astley and Axel Wismüller. SPIE, 2025. https://doi.org/10.1117/12.3045954.

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Ladas, Kostas T., George A. Tsihrintzis, and Mohammad Maleki. "Contour reconstruction in computer-aided holography." In OSA Annual Meeting. Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.mff3.

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In this presentation we generate images of the directional derivative and the Laplacian of the complex index of refraction of a weakly inhomogeneous scattering object. The object is embedded in a known background medium and is probed with coherent plane optical wavefields. The intensity distribution of the wavefields diffracted by the object is then recorded over lines perpendicular to the direction of propagation of the incident waves and is used as input data to a diffraction-tomographic procedure that generates estimates (reconstructions) of the directional derivative and the Laplacian of t
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Juarez Chambi, Ronald Miguel, Carmen Kut, Jesus Rico-Jimenez, et al. "Detection of brain tumor margins using optical coherence tomography." In Computer-Aided Diagnosis, edited by Kensaku Mori and Nicholas Petrick. SPIE, 2018. http://dx.doi.org/10.1117/12.2293599.

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Guo, Bang Jun, Xiuxiu He, Tonghe Wang, et al. "Benign and malignant thyroid classification using computed tomography radiomics." In Computer-Aided Diagnosis, edited by Horst K. Hahn and Maciej A. Mazurowski. SPIE, 2020. http://dx.doi.org/10.1117/12.2549087.

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Mortazi, Aliasghar, Jayaram K. Udupa, Yubing Tong, and Drew A. Torigian. "A post-acquisition standardization method for positron emission tomography images." In Computer-Aided Diagnosis, edited by Horst K. Hahn and Maciej A. Mazurowski. SPIE, 2020. http://dx.doi.org/10.1117/12.2550423.

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Bulygin, Theodor V., E. Y. Ovodkova, and Michael S. Umansky. "Correction of aberrations in interferometric systems with computer-aided phase reconstuction." In Analytical Methods for Optical Tomography, edited by Gennady G. Levin. SPIE, 1992. http://dx.doi.org/10.1117/12.131886.

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He, Xiuxiu, Bang Jun Guo, Tonghe Wang, et al. "Classification of lesion specific myocardial ischemia using cardiac computed tomography radiomics." In Computer-Aided Diagnosis, edited by Horst K. Hahn and Maciej A. Mazurowski. SPIE, 2020. http://dx.doi.org/10.1117/12.2548471.

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Faryna, Khrystyna, Fakrul I. Tushar, Vincent M. D’Anniballe, Rui Hou, Geoffrey D. Rubin, and Joseph Y. Lo. "Attention-guided classification of abnormalities in semi-structured computed tomography reports." In Computer-Aided Diagnosis, edited by Horst K. Hahn and Maciej A. Mazurowski. SPIE, 2020. http://dx.doi.org/10.1117/12.2551370.

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Hu, Mingzhe, Jing Wang, Jacob Wynne, Tian Liu, and Xiaofeng Yang. "A vision-GNN framework for retinopathy classification using optical coherence tomography." In Computer-Aided Diagnosis, edited by Khan M. Iftekharuddin and Weijie Chen. SPIE, 2023. http://dx.doi.org/10.1117/12.2653615.

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Singhal, Vanika, Sidharth Abrol, Daphne Mulot, et al. "Low does calcium scoring in cardiac computer tomography using deep learning." In Computer-Aided Diagnosis, edited by Susan M. Astley and Weijie Chen. SPIE, 2024. http://dx.doi.org/10.1117/12.3005114.

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Reports on the topic "Computer-Aided Tomography"

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Xia, Jessie Q. Image Processing and Computer Aided Diagnosis in Computed Tomography of the Breast. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada488205.

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Yu, Xiaoli. Improving Detection of Axillary Lymph Nodes by Computer-Aided Kinetic Feature Identification in Positron Emission Tomography. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada412153.

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Yu, Xiaoli. Improving Detection of Axillary Lymph Nodes by Computer-Aided Kinetic Feature Identification in Positron Emission Tomography. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada423474.

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Yu, Xiaoli. Improving Detection of Axillary Lymph Nodes by Computer-Aided Kinetic Feature Identification in Positron Emission Tomography. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada390707.

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