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A Comprehensive Review of Medical Image-processing Techniques for Thyroid Disorders

机译：甲状腺疾病医学图像处理技术的全面综述

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摘要

Image processing techniques are extensively used for diagnosis of several diseases. This review paper describes the application of image processing techniques for diagnosis of Thyroid disorders. Thyroid disorders are most common among all the endocrine diseases in India. Recent advances in thyroid imaging have considerably improved the diagnosis, treatment, follow-up and prognosis of high prevalence thyroid disorders such as thyroid nodule, goiter, thyroiditis and thyroid cancer that affect the normal thyroid function. Thyroid diagnosis using image processing techniques involves image pre-processing, ROI definition, image segmentation, feature extraction, feature selection, classification and post-processing. In this paper, a broad review of various image processing techniques applied to medical images in order to enhance the thyroid disease diagnosis is presented.
机译：图像处理技术被广泛用于几种疾病的诊断。这篇综述文章描述了图像处理技术在甲状腺疾病诊断中的应用。甲状腺疾病是印度所有内分泌疾病中最常见的疾病。甲状腺成像的最新进展已大大改善了影响甲状腺功能正常的高流行性甲状腺疾病（如甲状腺结节，甲状腺肿，甲状腺炎和甲状腺癌）的诊断，治疗，随访和预后。使用图像处理技术的甲状腺诊断涉及图像预处理，ROI定义，图像分割，特征提取，特征选择，分类和后处理。在本文中，对用于医学图像以增强甲状腺疾病诊断的各种图像处理技术进行了广泛的综述。

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