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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…