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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 2024 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 95 pages, height x width: 235x155 mm, 27 Illustrations, color; 2 Illustrations, black and white; XIV, 95 p. 29 illus., 27 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 14567
  • Izdošanas datums: 24-Oct-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031716256
  • ISBN-13: 9783031716256
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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 2024 ed.Palielināt
  • Formāts: Paperback / softback, 95 pages, height x width: 235x155 mm, 27 Illustrations, color; 2 Illustrations, black and white; XIV, 95 p. 29 illus., 27 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 14567
  • Izdošanas datums: 24-Oct-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031716256
  • ISBN-13: 9783031716256
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031716256.html
Keywords:
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. 
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.