Open Access
Medical Imaging 2012: Image Processing
David R. Haynor,Sebastien Ourselin +1 more
- 01 Feb 2012
Vol. 8314
423
TL;DR: Cooperating Organizations AAPM—American Association of Physicists in Medicine • CARS—Computer Assisted Radiology and Surgery • Medical Image Perception Society • Radiological Society of North America • APS—American Physiological Society (United States) • The DICOM Standards Committee ( United States)
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Abstract: Cooperating Organizations AAPM—American Association of Physicists in Medicine (United States) • CARS—Computer Assisted Radiology and Surgery (Germany) • Medical Image Perception Society (United States) • Radiological Society of North America (United States) • APS—American Physiological Society (United States) • The DICOM Standards Committee (United States) • Society for Imaging Informatics in Medicine (United States) • The Society for Imaging Science and Technology • World Molecular Imaging Society
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Citations
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar,Farhad Pourpanah,Sadiq Hussain,Dana Rezazadegan,Li Liu,Mohammad Ghavamzadeh,Paul Fieguth,Xiaochun Cao,Abbas Khosravi,U. Rajendra Acharya,U. Rajendra Acharya,U. Rajendra Acharya,Vladimir Makarenkov,Saeid Nahavandi +13 more
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A. Emre Kavur,N. Sinem Gezer,Mustafa Baris,Sinem Aslan,Pierre-Henri Conze,Vladimir Groza,Duc Duy Pham,Soumick Chatterjee,Philipp Ernst,Savas Ozkan,Bora Baydar,Dmitrii Lachinov,Shuo Han,Josef Pauli,Fabian Isensee,Matthias Perkonigg,Rachana Sathish,Ronnie Rajan,Debdoot Sheet,Gurbandurdy Dovletov,Oliver Speck,Andreas Nürnberger,Klaus H. Maier-Hein,Gozde Bozdagi Akar,Gozde Unal,Oğuz Dicle,M. Alper Selver +26 more
TL;DR: The analysis shows that the performance of DL models for single modality (CT / MR) can show reliable volumetric analysis performance, but the best MSSD performance remains limited, and multi-tasking DL models designed to segment all organs are observed to perform worse compared to organ-specific ones.
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Deep learning for cardiac image segmentation: A review
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TL;DR: In this article, a review of deep learning-based segmentation methods for cardiac image segmentation is provided, which covers common imaging modalities including magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound.
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Explainable artificial intelligence (XAI) in deep learning-based medical image analysis.
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