49 citations · 88 across the 8 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023★ 4 cited
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation
Yi Lin, Dong Zhang, Xiao Fang +3
Medical image segmentation is a fundamental task in the community of medical image analysis. In this paper, a novel network architecture, referred to as Convolution, Transformer, a…
cs.CV2023★ 3 cited
DoNet: Deep De-overlapping Network for Cytology Instance Segmentation
Hao Jiang, Rushan Zhang, Yanning Zhou +2
Cell instance segmentation in cytology images has significant importance for biology analysis and cancer screening, while remains challenging due to 1) the extensive overlapping tr…
cs.CV2023★ 4 cited
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
Conghao Xiong, Hao Chen, Joseph J. Y. Sung +1
Multiple Instance Learning (MIL) and transformers are increasingly popular in histopathology Whole Slide Image (WSI) classification. However, unlike human pathologists who selectiv…