233 citations · 247 across the 6 of their papers we have counts for
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cs.CV2023
Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping
Qixiang Zhang, Yi Li, Cheng Xue +1
Designing deep learning algorithms for gland segmentation is crucial for automatic cancer diagnosis and prognosis, yet the expensive annotation cost hinders the development and app…
cs.CV2019★ 7 cited
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis
Xueying Shi, Qi Dou, Cheng Xue +3
Automated skin lesion analysis is very crucial in clinical practice, as skin cancer is among the most common human malignancy. Existing approaches with deep learning have achieved…
cs.CV2019★ 6 cited
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification
Cheng Xue, Qi Dou, Xueying Shi +2
Deep neural networks (DNNs) have achieved great success in a wide variety of medical image analysis tasks. However, these achievements indispensably rely on the accurately-annotate…