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Viac informácií o knihe Machine Learning in Medical Imaging

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

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Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Image processing

• Celý názov: Machine Learning in Medical Imaging
• Podnázov: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
• Autor: Heung-Il Suk, Minigxia Liu, Pingkun Yan, Chunfeng Lian
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 695
• EAN: 9783030326913
• ID: 24640153
• Nakladateľ: Springer Nature Switzerland AG
• Hmotnosť: 1080 g
• Rozmery: 235 × 155 × 39 mm
• Dátum vydania: 10. October 2019

Obľúbené z iného súdka

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