ENGLISH

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

By Tanveer Syeda-Mahmood , Anant Madabhushi , Hayit Greenspan , Klaus Drechsler , Marius Erdt , Marius George Linguraru , Cristina Oyarzun Laura , Raj Shekhar , Stefan Wesarg , Miguel Angel González Ballester , Alexandros Karargyris

Book information

Publisher
Springer International Publishing;Springer
Year
2020
ISBN
9783030609450, 9783030609467
DOI
10.1007/978-3-030-60946-7
Language
english
Format
PDF
Filesize
31 MB (32761037 bytes)
Series
Lecture Notes in Computer Science 12445
Edition
1st ed.
Pages
XII, 138\147
Time added
2021-01-06 05:41:07
Computer Science; Image Processing and Computer Vi

Description

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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