Support Vector Machine Parameter Optimization for Positron Emission Tomography Images for Estimation of Recurrent Laryngeal Nerve Injury with Thyroid Nodules

Support Vector Machine Parameter Optimization for Positron Emission Tomography Images for Estimation of Recurrent Laryngeal Nerve Injury with Thyroid Nodules

This study aimed to explore positron emission tomography-computed tomography (PET-CT) images based on support vector machine (SVM) algorithm for the classification of thyroid nodules (TN) and its evaluation value in postoperative injury rate (PPIR) of recurrent laryngeal nerve (RLN). The parameters...

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Bibliographic Details
Main Authors: Jiyuan Wang, Hanqing Zou, Shaokun Sun, Wenqian Xu, Jie Jin
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2021/2553244

Internet

http://dx.doi.org/10.1155/2021/2553244

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