3 papers
eess.IV2026
Med-URWKVâ : Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation
Zhenhuan Zhou, Yining Li, Yanlin Wu +3
Medical image segmentation is a fundamental task in computer-aided diagnosis and treatment. Existing approaches based on CNNs, ViTs, Mamba, and hybrid models still suffer from limi…
cs.CV2025
Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation
Zhenhuan Zhou, Yuchen Zhang, Along He +3
Root canal (RC) treatment is a highly delicate and technically complex procedure in clinical practice, heavily influenced by the clinicians' experience and subjective judgment. Dee…
eess.IV2025
PRAD: Periapical Radiograph Analysis Dataset and Benchmark Model Development
Zhenhuan Zhou, Yuchen Zhang, Ruihong Xu +2
Deep learning (DL), a pivotal technology in artificial intelligence, has recently gained substantial traction in the domain of dental auxiliary diagnosis. However, its application…