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 e altri
    • 48,99 €
    • 48,99 €

Descrizione dell’editore

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.

GENERE
Computer e internet
PUBBLICATO
2026
1 giugno
LINGUA
EN
Inglese
PAGINE
252
EDITORE
Springer Nature Switzerland
DATI DEL FORNITORE
Springer Science & Business Media LLC
DIMENSIONE
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