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Deep Learning–Based Computer-Aided Diagnosis for Breast Lesion Classification on Ultrasound: A Prospective Multicenter Study of Radiologists Without Breast Ultrasound Expertise

Ping He, Wen Chen, Mingyu Bai, Jun Li, Qingqing Wang, Lihong Fan, Jian Zheng, Chuntao Liu, Xiaorong Zhang, Xi-Rong Yuan, Pengjie Song, Ligang Cui

2023American Journal of Roentgenology15 citationsDOIOpen Access PDF

Abstract

BACKGROUND. Computer-aided diagnosis (CAD) systems for breast ultrasound interpretation have been primarily evaluated at tertiary and/or urban medical centers by radiologists with breast ultrasound expertise.

Topics & Concepts

MedicineBreast ultrasoundRadiologyBreast imagingUltrasoundSubspecialtyBI-RADSProspective cohort studyBiopsyBreast diseaseFibroadenomaMammographyBreast cancerSurgeryPathologyInternal medicineCancerAI in cancer detectionGlobal Cancer Incidence and ScreeningBreast Lesions and Carcinomas
Deep Learning–Based Computer-Aided Diagnosis for Breast Lesion Classification on Ultrasound: A Prospective Multicenter Study of Radiologists Without Breast Ultrasound Expertise | Litcius