Computer-Aided Diagnosis Sensor and System of Breast Sonography: A Clinical Study

Authors
Jong-Ha LeeEun-Jin Lee
Department
Dept. of Biomedical Engineering (의용공학과)
Issue Date
2014
Citation
Sensors & Transducers, Vol.180(10) : 1-10, 2014
ISSN
2306-8515
Abstract
Early detection of breast cancer is critical in determining the best possible treatment approach. Ultrasound imaging has become an important modality in breast tumor detection and classification owing to its superiority to mammography in its ability to detect focal abnormalities in dense breast tissue. This paper discusses novel Fourier-based shape feature extraction techniques that provide enhanced classification accuracy for breast tumors in the computer-aided B-mode ultrasound diagnosis system. To verify the effectiveness of the proposed technique, experiments were performed using 4,107 ultrasound images containing 2,508 malignancy cases. Experimental results showed that the breast tumor classification accuracy has specificity of 95.8%, sensitivity of 94.1%, precision and recall of 95.7%, and accuracy of 94.9%.
Keywords
Computer-aided diagnosisUltrasoundBig dataBreast cancerEarly detection
URI
http://kumel.medlib.dsmc.or.kr/handle/2015.oak/34392
Appears in Collections:
1. Journal Papers (연구논문) > 1. School of Medicine (의과대학) > Dept. of Biomedical Engineering (의용공학과)
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