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 | ISBN 9783031716256

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

herausgegeben von Rina Bao, Ellen Grant, Andrew Kirkpatrick, Juan Wachs und Yangming Ou
Mitwirkende
Herausgegeben vonRina Bao
Herausgegeben vonEllen Grant
Herausgegeben vonAndrew Kirkpatrick
Herausgegeben vonJuan Wachs
Herausgegeben vonYangming Ou
Buchcover AI for Brain Lesion Detection and Trauma Video Action Recognition  | EAN 9783031716256 | ISBN 3-031-71625-6 | ISBN 978-3-031-71625-6

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

herausgegeben von Rina Bao, Ellen Grant, Andrew Kirkpatrick, Juan Wachs und Yangming Ou
Mitwirkende
Herausgegeben vonRina Bao
Herausgegeben vonEllen Grant
Herausgegeben vonAndrew Kirkpatrick
Herausgegeben vonJuan Wachs
Herausgegeben vonYangming Ou

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.