YOLO AI model based on an automated breast volume scanner for the detection of benign and malignant breast lesions.

ABSTRACT:

Background

The automated breast volume scanner (ABVS), a type of ultrasound device, plays a crucial role in breast cancer screening; however, the ABVS data volume places a strain on clinicians. We aimed to develop an artificial intelligence (AI) model for the detection and classification of lesions as benign or malignant during ABVS examination.

Methods

This retrospective study included 1,284 patients with 1,769 lesions who underwent ABVS examination between January 2017 and August 2021. The lesions were randomly divided into training and test sets at a 7:3 ratio. Using the test set, the performance of the You Only Look Once (YOLO) AI model, based on the YOLO version 8 architecture, in single-target (background vs. lesion), categorical (benign vs. malignant), a

SUBMITTER: Ma Q 

PROVIDER: S-EPMC12514674 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature