{"product_id":"9783319673882","title":"Lecture Notes in Computer Science: 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings","description":"\u003ch1\u003eLecture Notes in Computer Science: 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings\u003c\/h1\u003e \u003ch2\u003eWang, Qian; Shi, Yinghuan; Suk, Heung-Il; Suzuki, Kenji\u003c\/h2\u003e \u003cp\u003eThis book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. \u003c\/p\u003e\u003cp\u003eThe 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.\u003c\/p\u003e\u003cb\u003e\u003c\/b\u003e\u003cp\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2017-09-07\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783319673882\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-319-67389-9\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 391\u003c\/p\u003e ","brand":"Springer International Publishing","offers":[{"title":"Default Title","offer_id":44499531399308,"sku":"9783319673882","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783319673882.jpg?v=1774015238","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783319673882","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}