Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings: 11861 - Brossura
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This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. <br><br><div>The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. </div><div>They focus on major trends and challenges in the 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. </div>
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Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, . (Lecture Notes in Computer Science, 11861)
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paperback. Condizione: Very Good. Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, . (Lecture Notes in Computer Science, 11861) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Codice articolo 7719-9783030326913
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Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, . (Lecture Notes in Computer Science, 11861)
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Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, . (Lecture Notes in Computer Science, 11861)
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Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, ... Vision, Pattern Recognition, and Graphics)
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Machine Learning in Medical Imaging : 10th International Workshop, Mlmi 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 13, 2019, Proceedings
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Machine Learning in Medical Imaging : 10th International Workshop, Mlmi 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 13, 2019, Proceedings
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Machine Learning in Medical Imaging
Editore:
Springer International Publishing Okt 2019, 2019
ISBN 10: 3030326918
ISBN 13: 9783030326913
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions.They focus on major trends and challenges in the 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. 716 pp. Englisch. Codice articolo 9783030326913
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Machine Learning in Medical Imaging : 10th International Workshop, Mlmi 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 13, 2019, Proceedings
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