27 citations · 27 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation
Wentao Liu, Weijin Xu, Songlin Yan +3
Abdominal organ segmentation has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis. However, manually annotating organs f…
eess.IV2022★ 27 cited
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
Chu Han, Xipeng Pan, Lixu Yan +40
Lung cancer is the leading cause of cancer death worldwide, and adenocarcinoma (LUAD) is the most common subtype. Exploiting the potential value of the histopathology images can pr…
eess.IV2022
PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation
Wentao Liu, Tong Tian, Weijin Xu +4
The success of Transformer in computer vision has attracted increasing attention in the medical imaging community. Especially for medical image segmentation, many excellent hybrid…