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Medical Image Understanding and Analysis: 29th Annual Conference, MIUA 2025, Leeds, UK, July 15–17, 2025, Proceedings, Part III: 15918 (Lecture Notes in Computer Science, 15918) - Softcover
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The three-volume set LNCS 15916,15917 & 15918 constitutes the refereed proceedings of the 29th Annual Conference on Medical Image Understanding and Analysis, MIUA 2025, held in Leeds, UK, during July 15–17, 2025.
The 67 revised full papers presented in these proceedings were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections:
Part I: Frontiers in Computational Pathology; and Image Synthesis and Generative Artificial Intelligence.
Part II: Image-guided Diagnosis; and Image-guided Intervention.
Part III: Medical Image Segmentation; and Retinal and Vascular Image Analysis.
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Medical Image Understanding and Analysis (eng)
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Medical Image Understanding and Analysis : 29th Annual Conference, Miua 2025, Leeds, Uk, July 15?17, 2025, Proceedings
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Medical Image Understanding and Analysis (Paperback)
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ISBN 10: 3031986938
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Paperback. Condition: new. Paperback. The three-volume set LNCS 15916,15917 & 15918 constitutes the refereed proceedings of the 29th Annual Conference on Medical Image Understanding and Analysis, MIUA 2025, held in Leeds, UK, during July 1517, 2025.The 67 revised full papers presented in these proceedings were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections:Part I: Frontiers in Computational Pathology; and Image Synthesis and Generative Artificial Intelligence.Part II: Image-guided Diagnosis; and Image-guided Intervention.Part III: Medical Image Segmentation; and Retinal and Vascular Image Analysis. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9783031986932
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Medical Image Understanding and Analysis
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ISBN 10: 3031986938
ISBN 13: 9783031986932
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The three-volume set LNCS 15916,15917 &15918 constitutes the refereed proceedings of the 29th Annual Conference on Medical Image Understanding and Analysis, MIUA 2025, held in Leeds, UK, during July 15 17, 2025.The 67 revised full papers presented in these proceedings were carefully reviewed andselected from 99 submissions. The papers are organized in the following topicalsections:Part I: Frontiers in Computational Pathology; and Image Synthesis and Generative Artificial Intelligence.Part II: Image-guided Diagnosis; and Image-guided Intervention.Part III: Medical Image Segmentation; and Retinal and Vascular Image Analysis. 340 pp. Englisch. Seller Inventory # 9783031986932
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Medical Image Understanding and Analysis: 29th Annual Conference, MIUA 2025, Leeds, UK, July 15-17, 2025, Proceedings, Part III (Lecture Notes in Computer Science, 15918)
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Medical Image Understanding and Analysis : 29th Annual Conference, MIUA 2025, Leeds, UK, July 15-17, 2025, Proceedings, Part III
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ISBN 10: 3031986938
ISBN 13: 9783031986932
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The three-volume set LNCS 15916,15917 &15918 constitutes the refereed proceedings of the 29th Annual Conference on Medical Image Understanding and Analysis, MIUA 2025, held in Leeds, UK, during July 15 17, 2025.The 67 revised full papers presented in these proceedings were carefully reviewed andselected from 99 submissions. The papers are organized in the following topicalsections:Part I: Frontiers in Computational Pathology; and Image Synthesis and Generative Artificial Intelligence.Part II: Image-guided Diagnosis; and Image-guided Intervention.Part III: Medical Image Segmentation; and Retinal and Vascular Image Analysis. Seller Inventory # 9783031986932
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Medical Image Understanding and Analysis : 29th Annual Conference, Miua 2025, Leeds, Uk, July 15?17, 2025, Proceedings
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Medical Image Understanding and Analysis: 29th Annual Conference, MIUA 2025, Leeds, UK, July 15-17, 2025, Proceedings, Part III (Lecture Notes in Computer Science)
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