AI-based strategies in breast mass ≤ 2 cm classification with mammography and tomosynthesis.

ABSTRACT:

Purpose

To evaluate the diagnosis performance of digital mammography (DM) and digital breast tomosynthesis (DBT), DM combined DBT with AI-based strategies for breast mass ≤ 2 cm.

Materials and methods

DM and DBT images in 483 patients including 512 breast masses were acquired from November 2018 to November 2019. Malignant and benign tumours were determined by biopsies using histological analysis and follow-up within 24 months. The radiomics and deep learning methods were employed to extract the breast mass features in images and finally for benign and malignant classification. The DM, DBT and DM combined DBT (DM + DBT) images were fed into radiomics and deep learning models to construct corresponding models, respectively. The area under the receiver operating characteristic

SUBMITTER: Shao Z 

PROVIDER: S-EPMC11462177 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature