Dr. Lin Yang, associate professor in the J. Crayton Pruitt Family Department of Biomedical Engineering, and researchers’ article, “Pathologist-level Interpretable Whole-slide Cancer Diagnosis with Deep Learning,” was recently published in Nature Machine Intelligence. Most carcinoma identification requires microscopy-level image assessment… Read More
Yang’s article published in Nature Machine Intelligence