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An Infrared Thermal Images Database and a New Technique for Thyroid Nodules Analysis

机译：红外线热图像数据库和甲状腺结节分析的新技术

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Thyroid nodules diseases are a common health problem and thyroidal cancer is becoming increasingly prevalent. They appear in the neck and bottom neck region, superficially over the trachea. Cancer tissues are characterized by higher temperatures than surrounding tissues. Thermography is a diagnostic tool increasingly used to detect cancer and abnormalities. Artificial intelligence is an approach which can be applied to thyroid nodules classification, but is necessary to have a proper number of cases with proven diagnosis. In this paper, a new database that contain infrared thermal images, clinical and physiological data is presented. The description of each nodule per patient, and the acquisition protocol (based on Dynamic Infrared Thermography approach) is considered as well. A semi-automatic method for image registration was implemented to pre-process the thermograms and a new method for the Region of Interest (ROI) extraction is proposed. Moreover, the obtained ROI results are confirmed by medical specialists and turned available for future comparison with other works.
机译：甲状腺结节疾病是一种常见的健康问题，甲状腺癌变得越来越普遍。它们出现在颈部和底部颈部区域，在气管上。癌组织的特征在于比周围组织更高的温度。热成像是一种诊断工具，越来越多地用于检测癌症和异常。人工智能是一种可以应用于甲状腺结节分类的方法，但有必要具有验证诊断的适当案例。本文介绍了一种包含红外热图像，临床和生理数据的新数据库。每个患者的每个结节和采集协议（基于动态红外热成像方法）的描述也被认为是。实现了用于图像配准的半自动方法以预处理，提出了对感兴趣区域（ROI）提取的热图和新方法。此外，所获得的ROI结果由医学专家确认，并可用于将来与其他作品的比较。

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