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利用超声图像对甲状腺结节进行分类。

Classification of thyroid nodules using ultrasound images.

作者信息

Manivannan T, Ayyappan Nagarajan

机构信息

Department of Computer Applications, Alagappa University, Karaikudi, Tamilnadu, India.

出版信息

Bioinformation. 2020 Feb 29;16(2):145-148. doi: 10.6026/97320630016145. eCollection 2020.

Abstract

Medical imaging using image sensors play an essential role in effective diagnosis. Therefore, it is of interest to use medical imaging techniques for the diagnosis of thyroid-linked dysfunction. Ultrasound is the low-cost image processing technique to study internal organs and blood flow in blood vessels. Digital processed images help to distinguish between normal, benign and malignant tissue stages in organs.Hence, it is of importance to discuss the design and development of a computer-aided image-processing model for thyroid nodule identification, classification and diagnosis.

摘要

使用图像传感器的医学成像在有效诊断中起着至关重要的作用。因此,利用医学成像技术诊断甲状腺相关功能障碍具有重要意义。超声是一种用于研究内部器官和血管内血流的低成本图像处理技术。经过数字处理的图像有助于区分器官中的正常、良性和恶性组织阶段。因此,讨论用于甲状腺结节识别、分类和诊断的计算机辅助图像处理模型的设计与开发具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70a7/7196169/42085a27a7a0/97320630016145F1.jpg

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