An Infrared Thermal Images Database and a New Technique for Thyroid Nodules Analysis
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.
Thyroid Nodule Infrared Rays,Diagnosis Thermography
José R González Charbel Dami(a)o Aura Conci
Computing Institute,Federal Fluminense University,Niterói,Rio de Janeiro,Brazil Antonio Pedro University Hospital,Federal Fluminense University,Niterói,Rio de Janeiro,Brazil
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
384-387
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）