Clinical application of convolutional neural network for mass analysis on mammograms.

ABSTRACT:

Background

The detection of masses on mammogram represents one of the earliest signs of a malignant breast cancer. However, masses may be hard to detect due to dense breast tissue, leading to false negative results. In this study, we aimed to explore the clinical application of the convolutional neural network (CNN)-based deep learning (DL) system constructed in our previous work as an objective and accurate tool for breast cancer screening and diagnosis in Asian women.

Methods

This retrospective analysis included 324 patients with masses detected on mammograms at Shenzhen People's Hospital between April and December 2019. (I) Detection: images were independently analyzed by two junior radiologists who were blinded to relative results. Then, a senior radiologist analyzed the

SUBMITTER: Li L 

PROVIDER: S-EPMC10722008 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature