{"product_id":"machine-learning-in-medical-imaging-9783030875893","title":"Machine Learning in Medical Imaging","description":"\u003cp\u003eThis book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.* The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc. *The workshop was held virtually.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":52915634012439,"sku":null,"price":12080.49,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/6918\/8119\/files\/9783030875893.jpg?v=1781528879","url":"https:\/\/payment.letskitaboo.com\/products\/machine-learning-in-medical-imaging-9783030875893","provider":"Kitaboo One eStore","version":"1.0","type":"link"}