Yanling An1, Shaohai Hu1,*, Shuaiqi Liu2,3, Jie Zhao2,3,*, Yu-Dong Zhang4
CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.1, pp. 203-222, 2021, DOI:10.32604/cmes.2021.015159
- 28 June 2021
Abstract This paper proposes a computer-aided diagnosis system which can automatically detect thyroid nodules (TNs)
and discriminate them as benign or malignant. The system firstly uses variational level set active contour with
gradients and phase information to complete automatic extraction of the boundaries of thyroid nodules images.
Then according to thyroid ultrasound images and clinical diagnostic criteria, a new feature extraction method
based on the fusion of shape, gray and texture is explored. Due to the imbalance of thyroid sample classes, this
paper introduces a weight factor to improve support vector machine, offering different classes of More >
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