most citedInstance Adaptive Self-Training for Unsupervised Domain Adaptation

19 citations · 24 across the 5 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

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…