2 citations · 4 across the 3 of their papers we have counts for
3 papers
eess.IV2020
Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet
Chuang Zhu, Ke Mei, Ting Peng +4
The automatic and objective medical diagnostic model can be valuable to achieve early cancer detection, and thus reducing the mortality rate. In this paper, we propose a highly eff…
eess.IV2020★ 2 cited
Cross-stained Segmentation from Renal Biopsy Images Using Multi-level Adversarial Learning
Ke Mei, Chuang Zhu, Lei Jiang +2
Segmentation from renal pathological images is a key step in automatic analyzing the renal histological characteristics. However, the performance of models varies significantly in…
cs.CV2019★ 2 cited
Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image
Siyan Tao, Yao Guo, Chuang Zhu +4
In this paper, we propose a novel method for highly efficient follicular segmentation of thyroid cytopathological WSIs. Firstly, we propose a hybrid segmentation architecture, whic…