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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part III (Lecture Notes in Computer Science, 12263)

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part III (Lecture Notes in Computer Science, 12263)

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part III (Lecture Notes in Computer Science, 12263) Papeback -

by Anne L. Martel (Editor); Purang Abolmaesumi (Editor); Danail Stoyanov (Editor)

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  • Title Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part III (Lecture Notes in Computer Science, 12263)
  • Author Anne L. Martel (Editor); Purang Abolmaesumi (Editor); Danail Stoyanov (Editor)
  • Binding Papeback
  • Condition New
  • Pages 799
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 6384367948
  • ISBN 9783030597153 / 3030597156
  • Weight 2.53 lbs (1.15 kg)
  • Dimensions 9.21 x 6.14 x 1.66 in (23.39 x 15.60 x 4.22 cm)
  • Category Computers - Other Applications
  • Quantity available 4

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From the publisher

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

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