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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 Synopsis

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

About This Edition

ISBN: 9783030597184
Publication date:
Author: Anne L Martel
Publisher: Springer Nature Switzerland AG
Format: Paperback
Pagination: 831 pages
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Genres: Computer vision
Artificial intelligence
Computer applications in the social and behavioural sciences
Educational equipment and technology, computer-aided learning (CAL)
Pattern recognition
Computational biology / bioinformatics

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