Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study

To determine if mammographic features from deep learning networks can be applied in breast cancer to identify groups at interval invasive cancer risk due to masking beyond using traditional breast density meas...

Source: Cancer Imaging - June 22, 2019 Category: Radiology Authors: Benjamin Hinton, Lin Ma, Amir Pasha Mahmoudzadeh, Serghei Malkov, Bo Fan, Heather Greenwood, Bonnie Joe, Vivian Lee, Karla Kerlikowske and John Shepherd Tags: Research article Source Type: research