Foundation Models for 3D Biomedical Image Segmentation Foundation Models for 3D Biomedical Image Segmentation

Foundation Models for 3D Biomedical Image Segmentation

CVPR 2025 Challenge, MedSegFM 2025, Held in Conjunction with CVPR 2025, Nashville, TN, USA, June 11–15, 2025, Proceedings

Jun Ma y otros
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Descripción editorial

This book constitutes the proceedings of the CVPR 2025 Challenge on Foundation Models for 3D Biomedical Image Segmentation, MedSegFM 2025, held in Nashville, TN, USA, during June 11–15, 2025.

The 13 full papers included in this book were carefully reviewed and selected from 19 submissions. This conference provides state-of-the-art algorithms for biomedical image segmentation foundation models.

GÉNERO
Informática e Internet
PUBLICADO
2026
1 de junio
IDIOMA
EN
Inglés
EXTENSIÓN
252
Páginas
EDITORIAL
Springer Nature Switzerland
VENDEDOR
Springer Nature B.V.
TAMAÑO
55.9
MB
Multi-class Segmentation of the Aorta Multi-class Segmentation of the Aorta
2026
Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation
2025
Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop
2025
Social Robotics Social Robotics
2025
Likelihood Methods in Survival Analysis Likelihood Methods in Survival Analysis
2024
Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT
2024