Medical image computing and computer assisted intervention - MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings. 3 [E-Book] /

Medical image computing and computer assisted intervention - MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings. 3 [E-Book] / edited by Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz

The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually d...

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Abolmaesumi, Purang, editor
Joskowicz, Leo, editor / Martel, Anne L., editor / Mateus, Diana, editor / Racoceanu, Daniel, editor / Stoyanov, Danail, editor / Zhou, S. Kevin, editor / Zuluaga, Maria A., editor
1st edition 2020
Cham : Springer, 2020
online resource (XXXVI, 799 pages 23 illustrations)
englisch
9783030597160
10.1007/978-3-030-59716-0
Image processing, computer vision, pattern recognition, and graphics 12263
Lecture notes in computer science
artificial intelligence
Data processing
image analysis
knowledge representation
learning
surgery
video
Application software.
Artificial intelligence.
Bioinformatics.
Education-Data processing.
Optical data processing.
Pattern recognition.
HCR - Imaging techniques in medicine



The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography.