株式会社極東書店トップ商品一覧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. 1st ed. 2020

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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. 1st ed. 2020

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. 1st ed. 2020

・ISBN 978-3-030-60945-0 paper EUR 49.99

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お気に入り
著者・編者Syeda-Mahmood, Tanveer / Drechsler, Klaus / Greenspan, Hayit / Madabhushi, Anant / Karargyris, Alexandros / Linguraru, Marius George / Oyarzun Laura, Cristina / Shekhar, Raj / Wesarg, Stefan / Gonzalez Ballester, Miguel Angel (eds.),
シリーズ (Lecture Notes in Computer Science)
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2020
ページ数138 pp.
言語ENG
ニュース番号<A01-84976>

解説

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.