1 citations · 1 across the 3 of their papers we have counts for
4 papers
HVPNet: A Bio-Inspired Network for General Salient and Camouflaged Object Detection
Jiawei Xu, Qiangqiang Zhou, Zhouping Li +3
In recent years, most research on multimodal salient object detection (SOD) and camouflaged object detection (COD) typically aims to improve performance through complex cross-modal…
TP-Seg: Task-Prototype Framework for Unified Medical Lesion Segmentation
Jiawei Xu, Qiangqiang Zhou, Dandan Zhu +3
Building a unified model with a single set of parameters to efficiently handle diverse types of medical lesion segmentation has become a crucial objective for AI-assisted diagnosis…
SA-UNetv2: Rethinking Spatial Attention U-Net for Retinal Vessel Segmentation
Changlu Guo, Anders Nymark Christensen, Anders Bjorholm Dahl +2
Retinal vessel segmentation is essential for early diagnosis of diseases such as diabetic retinopathy, hypertension, and neurodegenerative disorders. Although SA-UNet introduces sp…
Channel Attention Separable Convolution Network for Skin Lesion Segmentation
Changlu Guo, Jiangyan Dai, Marton Szemenyei +1
Skin cancer is a frequently occurring cancer in the human population, and it is very important to be able to diagnose malignant tumors in the body early. Lesion segmentation is cru…