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 /
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. T...
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| Outros Autores: | , , , , |
| Formato: | Recurso Electrónico livro electrónico |
| Idioma: | inglês |
| Publicado em: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edição: | 1st ed. 2025. |
| Colecção: | Lecture Notes in Computer Science,
14567 |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/978-3-031-71626-3 |
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Sumário:
- 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.