Inconsistent Performance of Deep Learning Models on Mammogram Classification

Performance of recently developed deep learning models for image classification surpasses that of radiologists. However, there are questions about model performance consistency and generalization in unseen external data. The purpose of this study is to determine if the high performance of deep learning on mammograms can be transferred to external data with a different data distribution.

Source: Journal of the American College of Radiology : JACR - February 13, 2020 Category: Radiology Authors: Xiaoqin Wang, Gongbo Liang, Yu Zhang, Hunter Blanton, Zachary Bessinger, Nathan Jacobs Tags: Original article Source Type: research