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Wang, Linwei [Editor]; Dou, Qi [Editor]; Fletcher, P. Thomas [Editor]; Speidel, Stefanie [Editor]; Li, Shuo [Editor]

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - [1st ed. 2022.]

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  • Media type: E-Book
  • Title: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 : 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part IV
  • Contributor: Wang, Linwei [HerausgeberIn]; Dou, Qi [HerausgeberIn]; Fletcher, P. Thomas [HerausgeberIn]; Speidel, Stefanie [HerausgeberIn]; Li, Shuo [HerausgeberIn]
  • imprint: Cham: Springer Nature Switzerland, 2022.
    Cham: Imprint: Springer, 2022.
  • Published in: Lecture Notes in Computer Science ; 13434
    Springer eBook Collection
  • Issue: 1st ed. 2022.
  • Extent: 1 Online-Ressource(XL, 751 p. 231 illus.)
  • Language: English
  • DOI: 10.1007/978-3-031-16440-8
  • ISBN: 9783031164408
  • Identifier:
  • Keywords: Image processing.
  • Origination:
  • Footnote:
  • Description: Microscopic image analysis -- positron emission tomography -- ultrasound imaging -- video data analysis; image segmentation I.

    The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies. .