期刊
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
卷 58, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.bspc.2019.101825
关键词
Malignant tumor; Benign tumor; Morphologic feature; Tumor classification
资金
- Nanjing Institute of Technology high level introduction of talents Research Fund [YKJ201862]
- National Natural Science Foundation of China [61703201]
- Jiangsu Natural Science Foundation [BK20170765]
- Youth Innovation Fund of Nanjing Institute of Engineering [CKJB201602]
Nowadays, it is important for the detection of ultrasound images of breast tumors. In this paper, a new ultrasonic image feature extraction algorithm combining edge-based features and morphologic feature information is proposed, which has good effect on benign and malignant identification of breast tumors. This paper mainly studies three features (Sum of maximum curvature, Sum of maximum curvature and peak, Sum of maximum curvature and standard deviation) according to the shape histogram of ultrasound breast tumors from a local perspective. Based on the results of SVM classifier, it was found that the edge-based features have higher classification accuracy. The recognition system would perform better when morphologic features (Roughness, Regularity, Aspect ratio, Ellipticity, Roundness) were incorporated, compared with the control group whose input only with morphologic features. The results show that edge-based features can well describe breast tumors in ultrasound images, and have the potential to be used in breast ultrasound computer-aided design. (C) 2019 Published by Elsevier Ltd.
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