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AI for Brain Lesion Detection and Trauma Video Action Recognition

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

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Lecture Notes in Computer Science

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

Computers / Artificial Intelligence / Computer Vision & Pattern Recognition

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. 


Publication Date: 24 October 2024
Publisher: Springer Nature Switzerland
Imprint: Springer
ISBN-13: 9783031716256
Format: Paperback softback
Page Count: 95

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