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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, Ellen Grant, Andrew Kirkpatrick, Juan Wachs, Yangming Ou, editors

Von: Mitwirkende(r): Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Lecture notes in computer science ; challenges ; 14567Verlag: Cham : Springer, [2025]Copyright-Datum: © 2025Beschreibung: 1 Online-Ressource (xiv, 95 Seiten)ISBN:
  • 9783031716263
Schlagwörter: Andere physische Formen: 9783031716256 | 9783031716270 | Erscheint auch als: AI for brain lesion detection and trauma video action recognition. Druck-Ausgabe Cham : Springer, 2025. xiv, 93 SeitenDDC-Klassifikation:
  • 006 23
DOI: DOI: 10.1007/978-3-031-71626-3Online-Ressourcen: Zusammenfassung: BONBID-HIE 2023 -- Fusion of Deep and Local Features Using Random Forests for Neonatal HIE Segmentation -- Enhancing Lesion Segmentation in the BONBID-HIE Challenge: An Ensemble Strategy -- An Ensemble Approach for Segmentation of Neonatal HIE lesions -- Improving Segmentation of Hypoxic Ischemic Encephalopathy Lesions by Heavy Data Augmentation: Contribution to the BONBID Challenge -- A Deep Neural Network Approach for the Lesion Segmentation from Neonatal Brain Magnetic Resonance Imaging -- SegResNet based Reciprocal Transformation for BONBID-HIE Lesion Segmentation -- Trauma THOMPSON 2023 -- Overview of the Trauma THOMPSON Challenge at MICCAI 2023 -- The Trauma THOMPSON Challenge Report MICCAI 2023 -- Action Recognition and Action Anticipation Tasks in the Trauma THOMPSON Challenge Technical Report -- QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View.Zusammenfassung: 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. .PPN: PPN: 1907094687Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC
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