Article Excerpt: An artificial intelligence (AI) model for automated classification of colorectal polyps could benefit cancer screening programs by improving efficiency, reproducibility, and accuracy, as well as reducing access barriers to pathological services. In a new study out of Dartmouth’s and Dartmouth-Hitchcock’s Norris Cotton Cancer Center, a computer science and clinical research team led by Saeed Hassanpour, PhD, trained a deep neural network to do just that. Not only can their model distinguish the four major types of colorectal polyps at the level of practicing pathologists, as evaluated on a dataset across multiple external institutions, but also proves that a model designed using data from a single institution can achieve high accuracy on outside data.
Full Article: https://tinyurl.com/tduukm9b
Article Source: Dartmouth Cancer Center News