甲状腺结节的计算机辅助诊断综述

D. Koundal, Savita Gupta, Sukhwinder Singh
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引用次数: 40

摘要

由于专家观察的局限性和医学知识的不确定性,诊断成像在医学科学中是一种重要的工具。甲状腺超声是一种用于检测和分类甲状腺异常的非侵入性影像学研究。计算机化系统对甲状腺结节的特征提取和分类是一种有价值和有益的手段,可以消除对操作者的依赖,提高诊断的准确性。本文的目的是回顾现有的方法自动分类结节甲状腺超声图像,突出的关键点和使用策略之间的主要区别。本文的目的是回顾现有的方法诊断结节甲状腺超声图像及其性能指标。
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Computer-Aided Diagnosis of Thyroid Nodule: A Review
Diagnostic imaging is an important tool in medical science due to the constrained observations of the expert and uncertainties in medical knowledge. A thyroid ultrasound is a non-invasive imaging study used to detect and classify abnormalities of the thyroid gland. Computerized system is a valuable and beneficial means for feature extraction and classification of thyroid nodule in order to eliminate operator dependency and to improve the diagnostic accuracy. The aim of this paper is to review existing approaches to the automatic classification of nodules in thyroid ultrasound images, highlighting the keypoints and main differences between the used strategies. The aim of this paper is to review existing approaches for the diagnosis of Nodules in thyroid ultrasound images with their performance measures.
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