FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation

8 March 2024

Papers citing "FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation"

5 / 5 papers shown

Title
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation Yumin Zhang Yan Gao Haoran Duan Hanqing Guo Tejal Shah R. Ranjan Bo Wei FedML 68 0 0 19 Mar 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 73 3 0 14 Feb 2025
A Survey on Trustworthiness in Foundation Models for Medical Image Analysis Congzhen Shi Ryan Rezai Jiaxi Yang Qi Dou Xiaoxiao Li MedIm 26 4 0 03 Jul 2024
PanNuke Dataset Extension, Insights and Baselines Jevgenij Gamper Navid Alemi Koohbanani Ksenija Benes S. Graham Mostafa Jahanifar S. Khurram A. Azam K. Hewitt Nasir M. Rajpoot 103 171 0 24 Mar 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015