Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I
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Lecture Notes in Computer Science Image Processing, Computer Vision, Pattern Recognition, and Graphics
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I
Anne L. Martel | Purang Abolmaesumi | Danail Stoyanov | Diana Mateus | Maria A. Zuluaga | S. Kevin Zhou | Daniel Racoceanu | Leo Joskowicz
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
| Publication Date: | 02 October 2020 |
| Publisher: | Springer International Publishing |
| Imprint: | Springer |
| ISBN-13: | 9783030597092 |
| Format: | Paperback softback |
| Page Count: | 849 |