Molecular assays are standard of care for detecting genomic alterations in cancer prognosis and therapy selection but are costly, tissue-destructive and time-consuming. Artificial …
The analysis of histopathology images with artificial intelligence aims to enable clinical decision support systems and precision medicine. The success of such applications depends …
Lymph node evaluation for the presence of breast cancer metastases is a critical component of breast cancer staging and treatment planning. Artificial intelligence tools for …
The use of artificial intelligence to enable precision medicine and decision support systems through the analysis of pathology images has the potential to revolutionize the …
We present a deep learning AI algorithm designed to assist pathologists in detecting breast cancer lymph node metastases. In a reader study, pathologists using the AI system …
We present a machine learning approach for subtyping invasive carcinomas and high-risk lesions in breast pathology whole slide images. Our system leverages deep learning to …
We present a weakly supervised machine learning approach for morphological subtyping of breast cancer in whole slide images. Our system classifies invasive breast carcinomas into …
We present a weakly supervised deep learning approach for morphological subtyping of breast cancer in whole slide images. Using image-level labels, our neural network system …
We present a clinical-grade machine learning system for detecting breast cancer in biopsies and excisions. The system was developed and validated on a large dataset of whole slide …