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An Infrared Thermal Images Database and a New Technique for Thyroid Nodules Analysis.
González, José R; Damião, Charbel; Conci, Aura.
Afiliação
  • González JR; Computing Institute, Federal Fluminense University, Niterói, Rio de Janeiro, Brazil.
  • Damião C; Antonio Pedro University Hospital, Federal Fluminense University, Niterói, Rio de Janeiro, Brazil.
  • Conci A; Computing Institute, Federal Fluminense University, Niterói, Rio de Janeiro, Brazil.
Stud Health Technol Inform ; 245: 384-387, 2017.
Article em En | MEDLINE | ID: mdl-29295121
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.
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Bases de Dados Factuais / Nódulo da Glândula Tireoide Tipo de estudo: Guideline / Prevalence_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Bases de Dados Factuais / Nódulo da Glândula Tireoide Tipo de estudo: Guideline / Prevalence_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda