42 citations · 43 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Boosting Sclera Segmentation through Semi-supervised Learning with Fewer Labels
Guanjun Wang, Lu Wang, Ning Niu +4
Sclera segmentation is crucial for developing automatic eye-related medical computer-aided diagnostic systems, as well as for personal identification and verification, because the…
cs.CV2024★ 1 cited
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis
Sufen Ren, Yule Hu, Shengchao Chen +1
Medical image classification plays a crucial role in computer-aided clinical diagnosis. While deep learning techniques have significantly enhanced efficiency and reduced costs, the…
eess.IV2022★ 42 cited
Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia from Chest X-Ray Images
Shengchao Chen, Sufen Ren, Guanjun Wang +2
Chest imaging plays an essential role in diagnosing and predicting patients with COVID-19 with evidence of worsening respiratory status. Many deep learning-based approaches for pne…