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

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 M...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Syeda-Mahmood, Tanveer (Editor), Drechsler, Klaus (Editor), Greenspan, Hayit (Editor), Madabhushi, Anant (Editor), Karargyris, Alexandros (Editor), Linguraru, Marius George (Editor), Oyarzun Laura, Cristina (Editor), Shekhar, Raj (Editor), Wesarg, Stefan (Editor), González Ballester, Miguel Ángel (Editor), Erdt, Marius (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Series:	Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12445
Subjects:	Artificial intelligence. Optical data processing. Application software. Bioinformatics. Database management. Artificial Intelligence. Image Processing and Computer Vision. Computer Appl. in Social and Behavioral Sciences. Computational Biology/Bioinformatics. Database Management. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	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.
Physical Description:	1 online resource (XII, 138 pages 4 illustrations)
ISBN:	9783030609467
DOI:	10.1007/978-3-030-60946-7