Effect of a Deep Learning Framework-Based Computer-Aided Diagnosis System on the Diagnostic Performance of Radiologists in Differentiating between Malignant and Benign Masses on Breast Ultrasonography.

CONCLUSION: Deep learning-based CAD could improve radiologists' diagnostic performance by increasing their specificity, accuracy, and PPV in differentiating between malignant and benign masses on breast US. PMID: 30993926 [PubMed - in process]

https://www.ncbi.nlm.nih.gov/pubmed/30993926?dopt=Abstract

Source: Korean J Radiol - April 18, 2019 Category: Radiology Authors: Choi JS, Han BK, Ko ES, Bae JM, Ko EY, Song SH, Kwon MR, Shin JH, Hahn SY Tags: Korean J Radiol Source Type: research