28 February 2013 Computer-aided lesion diagnosis in B-mode ultrasound by border irregularity and multiple sonographic features
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Proceedings Volume 8670, Medical Imaging 2013: Computer-Aided Diagnosis; 86701O (2013) https://doi.org/10.1117/12.2007452
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
In this paper, we propose novel feature extraction techniques which can provide a high accuracy rate of mass classification in the computer-aided lesion diagnosis of breast tumor. Totally 290 features were extracted using the newly developed border irregularity feature extractor as well as multiple sonographic features based on the breast imaging-reporting and data system (BI-RADS) lexicons. To demonstrate the performance of the proposed features, 4,107 ultrasound images containing 2,508 malignant cases were used. The clinical results demonstrate that the proposed feature combination can be an integral part of ultrasound CAD systems to help accurately distinguish benign from malignant tumors.
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Jong-Ha Lee, Jong-Ha Lee, Yeong Kyeong Seong, Yeong Kyeong Seong, Chu-Ho Chang, Chu-Ho Chang, Eun Young Ko, Eun Young Ko, Baek Hwan Cho, Baek Hwan Cho, Jeonghun Ku, Jeonghun Ku, Kyoung-Gu Woo, Kyoung-Gu Woo, } "Computer-aided lesion diagnosis in B-mode ultrasound by border irregularity and multiple sonographic features", Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86701O (28 February 2013); doi: 10.1117/12.2007452; https://doi.org/10.1117/12.2007452
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