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Viac informácií o knihe Machine Learning in Medical Imaging

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 345 bodov

Anotácia knihy

This book constitutes the proceedings of the 11th International Workshop on Machine Learning in Medical Imaging, MLMI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic.The 68 papers presented in this volume were carefully reviewed and selected from 101 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.

Parametre knihy

Zaradenie knihy Knihy po nemecky Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Anwendungs-Software

• Celý názov: Machine Learning in Medical Imaging
• Autor: Xiaohuan Cao, Chunfeng Lian, Pingkun Yan
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 686
• EAN: 9783030598600
• ISBN: 3030598608
• ID: 33266131
• Nakladateľ: Springer Nature Switzerland AG
• Hmotnosť: 1062 g
• Rozmery: 235 × 155 × 38 mm
• Dátum vydania: 03. October 2020

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