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Cost-Effective and Non-Invasive Automated Benign Malignant Thyroid Lesion Classification in 3D Contrast-Enhanced Ultrasound Using Combination of Wavelets and Textures: A Class of ThyroScan™ Algorithms

机译：使用小波和纹理组合的3D对比度增强超声中具有成本效益和无侵入性的自动良性和恶性甲状腺病变：一类泰罗斯州™算法

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U. R. Acharya; O. Faust; S. V. Sree; F. Molinari; R. Garberoglio; J. S. Suri;
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年度 2011
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1. Cost-Effective and Non-Invasive Automated Benign & Malignant Thyroid Lesion Classification in 3D Contrast-Enhanced Ultrasound Using Combination of Wavelets and Textures: A Class of ThyroScan? Algorithms [J] . U. R. Acharya, O. Faust, S. V. Sree, Technology in cancer research & treatment. . 2011,第4期

机译：基于小波和纹理的3D增强超声检查中具有成本效益和非侵入性的自动化良性和恶性甲状腺病变分类：一类ThyroScan？演算法
2. Cost-Effective and Non-Invasive Automated Benign and Malignant Thyroid Lesion Classification in 3D Contrast-Enhanced Ultrasound Using Combination of Wavelets and Textures: A Class of ThyroScan(tm) Algorithms. [J] . Acharya UR, Faust O, Sree SV, Technology in cancer research & treatment. . 2011,第4期

机译：基于小波和纹理的3D增强超声中具有成本效益和非侵入性的自动良性和恶性甲状腺病变分类：一类ThyroScan（tm）算法。
3. Non-invasive automated 3D thyroid lesion classification in ultrasound: A class of ThyroScan? systems [J] . Rajendra Acharya U., Vinitha Sree S., Muthu Rama Krishnan M., Ultrasonics . 2012,第4期

机译：超声中无创自动3D甲状腺病变分类：一类ThyroScan？系统
4. Classification of Ultrasound Thyroid Nodule Images into Benign and Malignant Lesions [C] . Harshini D, Riffath Sheriff, Rushali Jadon, IEEE International Conference for Innovation in Technology . 2020

机译：超声甲状腺结节图像分类为良性和恶性病变
5. Usefulness of combined use of contrast-enhanced ultrasound and TI-RADS classification for the differentiation of benign from malignant lesions of thyroid nodules [O] . Yan Zhang, Ping Zhou, Shuang-Ming Tian, -1

机译：超声造影和TI-RADS分类的结合使用对区分甲状腺结节良恶性病变的有用性
6. Usefulness of combined use of contrast-enhanced ultrasound and TI-RADS classification for the differentiation of benign from malignant lesions of thyroid nodules [O] . 2017

机译：超声造影和TI-RADS分类的结合使用对区分甲状腺结节良恶性病变的有用性

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Cost-Effective and Non-Invasive Automated Benign Malignant Thyroid Lesion Classification in 3D Contrast-Enhanced Ultrasound Using Combination of Wavelets and Textures: A Class of ThyroScan™ Algorithms

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