JOURNAL ARTICLE

Observer Variability in BI-RADS Ultrasound Features and Its Influence on Computer-Aided Diagnosis of Breast Masses

Abstract

Despite the differences in the BI- RADS sonographic features between different observations, the diagnostic performance of computer-aided analysis for differentiating breast masses did not change. Through continual retraining, the computer-aided analysis provides consistent diagnostic performance independent of the variations in the observed sonographic features.

Keywords:
BI-RADS Ultrasound Breast imaging Kappa Medicine Malignancy Radiology Breast ultrasound Cohen's kappa Computer-aided diagnosis Naive Bayes classifier Mammography Pattern recognition (psychology) Artificial intelligence Mathematics Computer science Statistics Breast cancer Pathology Support vector machine Internal medicine

Metrics

6
Cited By
0.73
FWCI (Field Weighted Citation Impact)
20
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Breast Lesions and Carcinomas
Health Sciences →  Medicine →  Pathology and Forensic Medicine
AI in cancer detection
Physical Sciences →  Computer Science →  Artificial Intelligence
MRI in cancer diagnosis
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
© 2026 ScienceGate Book Chapters — All rights reserved.