Dr. Hao Wang Profile

Dr. Hao Wang

at Southwest Jiaotong Univ

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Proceedings Article | 21 July 2017 Paper

A thyroid nodule classification method based on TI-RADS

Hao Wang, Yang Yang, Bo Peng, Qin Chen

Proceedings Volume 10420, 1042041 (2017) https://doi.org/10.1117/12.2281600

KEYWORDS: Ultrasonography, Fuzzy logic

Read Abstract +

Thyroid Imaging Reporting and Data System(TI-RADS) is a valuable tool for differentiating the benign and the malignant thyroid nodules. In clinic, doctors can determine the extent of being benign or malignant in terms of different classes by using TI-RADS. Classification represents the degree of malignancy of thyroid nodules. TI-RADS as a classification standard can be used to guide the ultrasonic doctor to examine thyroid nodules more accurately and reliably. In this paper, we aim to classify the thyroid nodules with the help of TI-RADS. To this end, four ultrasound signs, i.e., cystic and solid, echo pattern, boundary feature and calcification of thyroid nodules are extracted and converted into feature vectors. Then semi-supervised fuzzy C-means ensemble (SS-FCME) model is applied to obtain the classification results. The experimental results demonstrate that the proposed method can help doctors diagnose the thyroid nodules effectively.

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