4 citations · 5 across the 7 of their papers we have counts for
5 papers · 1 filter
LM-PCVMNet: Pediatric Cervical Vertebral Maturation Analysis with Deep Fusion of Landmarks and Metadata
Peng Wang, Wanzhen Song, Anli Wang +3
Cervical vertebral maturation (CVM) assessment plays a pivotal role in orthodontic diagnosis and determining the optimal timing of treatment, especially for pediatric patients. In…
Med-URWKV†: 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…
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…
TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image Segmentation
Yanlin Wu, Tao Li, Zhihong Wang +2
U-Net is currently the most widely used architecture for medical image segmentation. Benefiting from its unique encoder-decoder architecture and skip connections, it can effectivel…
Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation
Zhenhuan Zhou, Along He, Yanlin Wu +3
In medical images, various types of lesions often manifest significant differences in their shape and texture. Accurate medical image segmentation demands deep learning models with…