Development and validation of a transformer-based CAD model for improving the consistency of BI-RADS category 3–5 nodule classification among radiologists: a multiple center study

ABSTRACT:

Background

Significant differences exist in the classification outcomes for radiologists using ultrasonography-based Breast Imaging Reporting and Data Systems for diagnosing category 3–5 (BI-RADS 3–5) breast nodules, due to a lack of clear and distinguishing image features. Consequently, this retrospective study investigated the improvement of BI-RADS 3–5 classification consistency using a transformer-based computer-aided diagnosis (CAD) model.

Methods

Independently, 5 radiologists performed BI-RADS annotations on 21,332 breast ultrasonographic images collected from 3,978 female patients from 20 clinical centers in China. All images were divided into training, validation, testing, and sampling sets. The trained transformer-based CAD model was then used to classify test im

SUBMITTER: Ji H 

PROVIDER: S-EPMC10240028 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature