Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features

The aim of this study was to determine whether deep features extracted from digital mammograms using a pretrained deep convolutional neural network are prognostic of occult invasive disease for patients with ductal carcinoma in situ (DCIS) on core needle biopsy.

Source: Journal of the American College of Radiology : JACR - February 2, 2018 Category: Radiology Authors: Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jay A. Baker, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, E. Shelley Hwang, Joseph Y. Lo Tags: Original article Source Type: research