{"product_id":"domain-adaptation-and-representation-transfer-and-medical-image-learning-with-less-labels-and-imperfect-data-springer-nature-switzerland-ag-9783030333904-first-miccai-workshop-dart-2019-and-first-international-workshop-mil3id-2019-shenzhen-held-in-conjunc","title":"Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data","description":"\u003cp\u003eDiscover the groundbreaking insights in \"Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data\" by Qian Wang, published by Springer Nature Switzerland AG in 2019. This comprehensive volume compiles the refereed proceedings from two significant workshops: the First MICCAI Workshop on Domain Adaptation and Representation Transfer (DART 2019) and the First International Workshop on Medical Image Learning with Less Labels and Imperfect Data (MIL3ID 2019), both held in Shenzhen, China. Spanning 254 pages, this book delves into innovative methodologies and strategies aimed at enhancing medical image analysis, even in scenarios with limited labeling and imperfect data. Ideal for researchers and practitioners in the field, this work provides essential knowledge and cutting-edge techniques to advance your understanding of medical image learning. Secure your copy today to explore the future of medical imaging technology!\u003c\/p\u003e","brand":"Qian Wang","offers":[{"title":"Default Title","offer_id":52245716500822,"sku":"9783030333904","price":54.55,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0886\/3206\/6390\/files\/9783030333904.jpg?v=1767770148","url":"https:\/\/www.bookshop.lv\/products\/domain-adaptation-and-representation-transfer-and-medical-image-learning-with-less-labels-and-imperfect-data-springer-nature-switzerland-ag-9783030333904-first-miccai-workshop-dart-2019-and-first-international-workshop-mil3id-2019-shenzhen-held-in-conjunc","provider":"Bookshop","version":"1.0","type":"link"}