The Transverse Ultrasonogram of Thyroid Papillary Carcinoma Has a Better Prediction Accuracy Than the Longitudinal One
Bingxin Yu,
Zhongyu Wang,
Renxiang Zhu,
Xin Feng,
Mingran Qi,
Jialiang Li,
Ruixue Zhao,
Lan Huang,
Ruihao Xin,
Fan Li,
Fengfeng Zhou
Affiliations
Bingxin Yu
Department of Pathogenobiology, Chinese Ministry of Education, College of Basic Medicine, Key Laboratory of Zoonosis, Jilin University, Changchun, China
Zhongyu Wang
BioKnow Health Informatics Laboratory, College of Computer Science and Technology, Jilin University, Changchun, China
Renxiang Zhu
BioKnow Health Informatics Laboratory, College of Computer Science and Technology, Jilin University, Changchun, China
Xin Feng
BioKnow Health Informatics Laboratory, College of Computer Science and Technology, Jilin University, Changchun, China
Mingran Qi
Department of Pathogenobiology, Chinese Ministry of Education, College of Basic Medicine, Key Laboratory of Zoonosis, Jilin University, Changchun, China
Jialiang Li
BioKnow Health Informatics Laboratory, College of Computer Science and Technology, Jilin University, Changchun, China
Ruixue Zhao
BioKnow Health Informatics Laboratory, College of Computer Science and Technology, Jilin University, Changchun, China
Lan Huang
Key Laboratory of Symbolic Computation and Knowledge Engineering, College of Computer Science and Technology, Ministry of Education, Jilin University, Changchun, China
Ruihao Xin
College of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun, China
Fan Li
Department of Pathogenobiology, Chinese Ministry of Education, College of Basic Medicine, Key Laboratory of Zoonosis, Jilin University, Changchun, China
Thyroid produces multiple essential hormones for vital life processes. Thyroid cancer has no symptoms and may be detected by ultrasound imaging incidentally for other medical conditions. An accurate computational detection model may help the precise diagnose of thyroid papillary cancer (TPC). A standard protocol captures at least the transverse and longitudinal ultrasonograms of the thyroid. This study investigated the detection problem of thyroid cancer using the ultrasound images. Our data suggested that the original local binary pattern (LBP) features extracted from the ultrasonograms were very sparse and the compressed LBP features outperformed the original version. And the best model (Acc = 0.9829) was achieved by the fivefold cross validation of the classifier support vector machine (SVM). Other sources of biomedical data may be integrated to further improve the TPC detection model in future studies.
