The BR-USCAD DS Module is a computer-assisted detection and diagnosis software based on a deep learning algorithm. This retrospective, fully-crossed, multi-reader, multi-case (MRMC) study aims to compare the performances of readers without and with the aid of the Breast Ultrasound Image Reviewed with Assistance of Computer-Assisted Detection and Diagnosis System (BR-USCAD DS) in interpreting breast ultrasound images of lesions.
B-mode breast ultrasound image Female, age 21 or older Breast lesion images acquired before a biopsy or surgery - these images were retrospectively collected with histology report. Non-biopsied benign lesions with negative follow-up for a minimum of 12 months At least two orthogonal views of a lesion All the cases in this study are collected from at least 3 different ultrasound apparatuses
Exclusion Criteria:
Breast lesion images acquired after biopsy or surgery. Any breast surgeries or interventional procedures in the 12 months prior to ultrasound imaging Case demonstrating administrative or technical errors Multiple lesions in one 2-D ultrasound image Breast ultrasound images with Doppler, elastography, or other overlays present
