Yangming Ou (16 results)

Condition: New.

Paperback. Condition: new. Paperback. This book constitutes the proceedings of the First BONBID-HIE Lesion Segmentation Challenge and the First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, in Vancouver, BC, Canada, during October 2023. For BONBID-HIE 2023 Challenge 6 papers have been accepted out of 14 submissions. They span a broad array of approaches leveraging anatomical information about HIE, data augmentation, training strategies, model architecture, and integration with traditional machine learning methods. For the TTC 2023 Trauma Thompson Challenge 4 accepted contributions are included in this book. They deal with advancements in machine learning methods and their practical applications in addressing small and diffuse lesions in HIE segmentation. This book constitutes the proceedings of the First BONBID-HIE Lesion Segmentation Challenge and the First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, in Vancouver, BC, Canada, during October 2023. For the TTC 2023 Trauma Thompson Challenge 4 accepted contributions are included in this book. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: As New. Unread book in perfect condition.

Condition: New. In English.

Condition: New. 2024th edition NO-PA16APR2015-KAP.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of theFirst BONBID-HIE Lesion Segmentation Challenge and the First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, in Vancouver, BC, Canada, during October 2023.For BONBID-HIE 2023 Challenge 6 papers have been accepted out of 14 submissions. They span a broad array ofapproaches leveraging anatomical information about HIE, data augmentation,training strategies, model architecture, and integration with traditional machinelearning methods. For theTTC 2023 Trauma Thompson Challenge 4 accepted contributions are included in this book. They deal withadvancements in machinelearning methods and their practical applications in addressing small and diffuse lesions in HIE segmentation.…

Taschenbuch. Condition: Neu. AI for Brain Lesion Detection and Trauma Video Action Recognition | First BONBID-HIE Lesion Segmentation Challenge and First Trauma Thompson Challenge, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 16 and 12, 2023, Proceedings | Rina Bao (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xiv | Englisch | 2024 | Springer | EAN 9783031716256 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Condition: Brand New. 100 pages. 9.25x6.10x9.21 inches. In Stock.

Paperback. Condition: new. Paperback. This book constitutes the proceedings of the First BONBID-HIE Lesion Segmentation Challenge and the First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, in Vancouver, BC, Canada, during October 2023. For BONBID-HIE 2023 Challenge 6 papers have been accepted out of 14 submissions. They span a broad array of approaches leveraging anatomical information about HIE, data augmentation, training strategies, model architecture, and integration with traditional machine learning methods. For the TTC 2023 Trauma Thompson Challenge 4 accepted contributions are included in this book. They deal with advancements in machine learning methods and their practical applications in addressing small and diffuse lesions in HIE segmentation. This book constitutes the proceedings of the First BONBID-HIE Lesion Segmentation Challenge and the First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, in Vancouver, BC, Canada, during October 2023. For the TTC 2023 Trauma Thompson Challenge 4 accepted contributions are included in this book. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condition: new. Questo è un articolo print on demand.

Paperback. Condition: Brand New. 100 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the proceedings of theFirst BONBID-HIE Lesion Segmentation Challenge and the First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, in Vancouver, BC, Canada, during October 2023.For BONBID-HIE 2023 Challenge 6 papers have been accepted out of 14 submissions. They span a broad array ofapproaches leveraging anatomical information about HIE, data augmentation,training strategies, model architecture, and integration with traditional machinelearning methods. For theTTC 2023 Trauma Thompson Challenge 4 accepted contributions are included in this book. They deal withadvancements in machinelearning methods and their practical applications in addressing small and diffuse lesions in HIE segmentation. 112 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the proceedings of the First BONBID-HIE Lesion Segmentation Challenge and the First Trauma Thompson Challenge, held in conjunction with MICCAI 2023, in Vancouver, BC, Canada, during October 2023.For BONBID-HIE 2023 Challenge 6 papers have been accepted out of 14 submissions. They span a broad array of approaches leveraging anatomical information about HIE, data augmentation, training strategies, model architecture, and integration with traditional machine learning methods. For the TTC 2023 Trauma Thompson Challenge 4 accepted contributions are included in this book. They deal with advancements in machine learning methods and their practical applications in addressing small and diffuse lesions in HIE segmentation.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 112 pp. Englisch.…

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.