Data Quality, Data Sharing, and Moving Artificial Intelligence Forward
Joann G. Elmore, Christoph I. Lee
Abstract
Buda et al 1 have curated and annotated a data set of 3-dimensional digital breast tomosynthesis (DBT) examinations obtained from 5060 patients. In using this data set, they developed a deep learning algorithm for breast cancer detection and reached a sensitivity of 65% at 2 false positives per breast on a test set from 418 patients. Compared with the reported performance of several
Topics & Concepts
Artificial intelligenceComputer scienceArt historyArtArtificial Intelligence in Healthcare and EducationAI in cancer detectionRadiomics and Machine Learning in Medical Imaging