Artificial Intelligence Algorithms to Assess Hormonal Status From Tissue Microarrays in Patients With Breast Cancer

Artificial Intelligence Algorithms to Assess Hormonal Status From Tissue Microarrays in Patients With Breast CancerJAMA Network
July 26, 2019

Can molecular markers of cancer be extracted from tissue morphology as seen in hematoxylin-eosin–stained images?

In this diagnostic study of tissue microarray hematoxylin-eosin–stained images from 5356 patients with breast cancer, molecular biomarker expression was found to be significantly associated with tissue histomorphology. A deep learning model was able to predict estrogen receptor expression solely from hematoxylin-eosin–stained images with noninferior accuracy to standard immunohistochemistry.

Full Article
Technion News

Back to the news index Wednesday, August 28, 2019