Researchers from Mass General Brigham and their collaborators present Tripath: new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions. In collaboration with the University of Washington, the research team imaged curated prostate cancer specimens, using two 3D high-resolution imaging techniques. Tripath performed better than pathologists and outperformed deep learning models that rely on 2D morphology and thin tissue slices. Source: Mass General Brigham
AI Advancements Make the Leap into 3D Pathology Possible
NIBIB in the News
May 10, 2024