{"product_id":"9783030898465","title":"Lecture Notes in Computer Science: 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings","description":"\u003ch1\u003eLecture Notes in Computer Science: 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings\u003c\/h1\u003e \u003ch2\u003eSyeda-Mahmood, Tanveer; Li, Xiang; Madabhushi, Anant; Greenspan, Hayit; Li, Quanzheng; Leahy, Richard; Dong, Bin; Wang, Hongzhi\u003c\/h2\u003e \u003cp\u003eThis book constitutes the refereed joint proceedings of the 11th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in October 2021. The workshop was held virtually due to the COVID-19 pandemic.\u003c\/p\u003e\u003cp\u003eThe 10 full papers presented at ML-CDS 2021 were carefully reviewed and selected from numerous submissions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2021-10-20\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783030898465\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-030-89847-2\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 117\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":44676775706764,"sku":"9783030898465","price":53.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783030898465.jpg?v=1774021213","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783030898465","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}