Energy Spectrum Scanning of Thyroid Nodules: A Study Based on Support Vector Machine
Yang Chuangb · Zhongguo yixue yingxiangxue zazhi · 2015
Purpose Support vector machine(SVM) is a machine learning method based on statistical learning theory of Vapnik-Chervonenkis(VC) dimension structure and risk minimization theory. We analyzed the gem spectrum CT scan data of patients with thyroid nodules and established the SVM diagnostic model. The experimental targets were then reduced and the forecast analysis was carried out based on SVM model. The diagnostic model and experimental methods were proved to provide guidance for clinical diagnosis of thyroid nodules.