Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures

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10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8,2020, Proceedings, Lecture Notes in Computer Science 12445 – Image Processing, Computer Vision, Pattern Recognition, and Graphics

ISBN: 3030609456
ISBN 13: 9783030609450
Herausgeber: Tanveer Syeda-Mahmood/Klaus Drechsler/Hayit Greenspan et al
Verlag: Springer Verlag GmbH
Umfang: xii, 138 S., 4 s/w Illustr., 138 p. 4 illus.
Erscheinungsdatum: 04.10.2020
Auflage: 1/2020
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 9809557 Kategorie:

Beschreibung

This book constitutes the refereed joint proceedings of the 10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. The 4 full papers presented at ML-CDS 2020 and the 9 full papers presented at CLIP 2020 were carefully reviewed and selected from numerous submissions to ML-CDS and 10 submissions to CLIP. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.

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E-Mail: juergen.hartmann@springer.com

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