A computer vision-based algorithm to predict false positive errors in radiology trainees when interpreting digital breast tomosynthesis cases

摘要

Objectives: Digital breast tomosynthesis (DBT) is a new imaging modality that improves invasive cancer detection rates compared to mammography. In this work, we aim to advance adaptive computer-based education in DBT by computer algorithm.