7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Foster Adaptivity and Balance in Learning with Noisy Labels
Mengmeng Sheng, Zeren Sun, Tao Chen +3
Label noise is ubiquitous in real-world scenarios, posing a practical challenge to supervised models due to its effect in hurting the generalization performance of deep neural netw…
cs.CV2023★ 7 cited
Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides
Bo Yu, Hechang Chen, Yunke Zhang +5
Artificial intelligence-enabled histopathological data analysis has become a valuable assistant to the pathologist. However, existing models lack representation and inference abili…
eess.IV2022★ 3 cited
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation
Shuchao Pang, Anan Du, Mehmet A. Orgun +5
Automatic tumor or lesion segmentation is a crucial step in medical image analysis for computer-aided diagnosis. Although the existing methods based on Convolutional Neural Network…