1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation
Meilu Zhu, Zhiwei Wang, Axiu Mao +4
Federated learning (FL) offers a privacy-preserving paradigm for collaborative medical image analysis without sharing raw data. However, the absence of standardized benchmarks for…
cs.CV2023
Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images
Fan Bai, Xiaohan Xing, Yutian Shen +2
Weakly supervised methods, such as class activation maps (CAM) based, have been applied to achieve bleeding segmentation with low annotation efforts in Wireless Capsule Endoscopy (…
cs.CV2021★ 1 cited
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
Xiaohan Xing, Yuenan Hou, Hang Li +3
The amount of medical images for training deep classification models is typically very scarce, making these deep models prone to overfit the training data. Studies showed that know…