5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2026
PBE-UNet: A light weight Progressive Boundary-Enhanced U-Net with Scale-Aware Aggregation for Ultrasound Image Segmentation
Chen Wang, Yixin Zhu, Yongbin Zhu +5
Accurate lesion segmentation in ultrasound images is essential for preventive screening and clinical diagnosis, yet remains challenging due to low contrast, blurry boundaries, and…
eess.IV2024
Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT Segmentation
Yuexing Ding, Jun Wang, Hongbing Lyu
In the field of medical image segmentation, challenges such as indistinct lesion features, ambiguous boundaries,and multi-scale characteristics have long revailed. This paper propo…
eess.IV2023★ 5 cited
FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation
Zongyi Li, Hongbing Lyu, Jun Wang
In recent years, U-Net and its variants have been widely used in pathology image segmentation tasks. One of the key designs of U-Net is the use of skip connections between the enco…