Chunfeng (65 Ergebnisse)

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Stiff Wrappers. Zustand: Fine Condition. 227 pp., many illustrations in color. Text is in Chinese and English. A number of the works combine Buddhist motifs into contemporary culture whilst others reflect the Cultural Revolution and military themes. Book.

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Paperback. Zustand: Brand New. 202 pages. 9.18x6.12x9.21 inches. In Stock.

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Paperback. Zustand: Brand New. 410 pages. 9.25x6.10x1.73 inches. In Stock.

Paperback. Zustand: Brand New. 2011 edition. 744 pages. 9.00x6.00x1.55 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

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Taschenbuch. Zustand: Neu. Machine Learning in Medical Imaging | 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings | Heung-Il Suk (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xviii | Englisch | 2019 | Springer | EAN 9783030326913 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 13th International Workshop on Machine Learning in Medical Imaging, MLMI 2022, held in conjunction with MICCAI 2022, in Singapore, in September 2022. The 48 full papers presented in this volume were carefully reviewed and selected from 64 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.…

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Paperback. Zustand: Brand New. 492 pages. 9.25x6.10x1.18 inches. In Stock.

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Taschenbuch. Zustand: Neu. Machine Learning in Medical Imaging | 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings | Chunfeng Lian (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xiii | Englisch | 2022 | Springer | EAN 9783031210136 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 716 | Sprache: Englisch | Produktart: Bücher | 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. …

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 715 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: New. Fast-track conference proceedingsState-of-the-art researchUp-to-date resultsFast-track conference proceedingsState-of-the-art researchUp-to-date resultsThe two-volume set, CCIS 243 and CCIS 244, constitutes the.