Wang Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

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25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part V

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Beschreibung

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.

 



Autor*in

Linwei Wang

Themen in »Medical Image Computing and Computer Assisted Intervention – MICCAI 2022«

artificial intelligence bioinformatics computer vision decision support systems image analysis image manipulation image processing image segmentation learning machine learning medical image segmentation medical images neural networks object recognition object segmentation

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Details

ISBN: 9783031164422
Verlag: Springer International Publishing
Erscheinung: 16.09.2022

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