output
20182025
most citedHard Sample Aware Noise Robust Learning for Histopathology Image Classification

134 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2021Show all

2 papers · 1 filter

eess.IV2021★ 134 cited

Hard Sample Aware Noise Robust Learning for Histopathology Image Classification

Chuang Zhu, Wenkai Chen, Ting Peng +2

Deep learning-based histopathology image classification is a key technique to help physicians in improving the accuracy and promptness of cancer diagnosis. However, the noisy label…

eess.IV2021★ 69 cited

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides

Feng Xu, Chuang Zhu, Wenqi Tang +7

Objectives: To develop and validate a deep learning (DL)-based primary tumor biopsy signature for predicting axillary lymph node (ALN) metastasis preoperatively in early breast can…