A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images.

Khandakar, Amith; Chowdhury, Muhammad E H; Reaz, Mamun Bin Ibne; Ali, Sawal Hamid Md; Kiranyaz, Serkan; Rahman, Tawsifur; Chowdhury, Moajjem Hossain; Ayari, Mohamed Arselene; Alfkey, Rashad; Bakar, Ahmad Ashrif A; Malik, Rayaz A; Hasan, Anwarul

Khandakar, Amith; Chowdhury, Muhammad E H; Reaz, Mamun Bin Ibne; Ali, Sawal Hamid Md; Kiranyaz, Serkan; Rahman, Tawsifur; Chowdhury, Moajjem Hossain; Ayari, Mohamed Arselene; Alfkey, Rashad; Bakar, Ahmad Ashrif A; Malik, Rayaz A; Hasan, Anwarul.

Afiliação

Khandakar A; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
Chowdhury MEH; Department of Electrical, Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.
Reaz MBI; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
Ali SHM; Department of Electrical, Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.
Kiranyaz S; Department of Electrical, Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.
Rahman T; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
Chowdhury MH; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
Ayari MA; Department of Electrical, Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.
Alfkey R; Department of Civil and Architectural Engineering, Qatar University, Doha 2713, Qatar.
Bakar AAA; Technology Innovation and Engineering Education Unit, Qatar University, Doha 2713, Qatar.
Malik RA; Acute Care Surgery and General Surgery, Hamad Medical Corporation, Doha 3050, Qatar.
Hasan A; Department of Electrical, Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.

Sensors (Basel) ; 22(11)2022 Jun 02.

Article em En | MEDLINE | ID: mdl-35684870

Assuntos

Diabetes Mellitus; Pé Diabético; Algoritmos; Pé Diabético/diagnóstico por imagem; Humanos; Aprendizado de Máquina; Redes Neurais de Computação; Termografia/métodos

Palavras-chave

classical machine learning; deep learning; diabetic foot; diabetic foot severity classification; k-mean clustering; machine learning; non-invasive diagnosis technique; thermal change index; thermogram

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pé Diabético / Diabetes Mellitus Tipo de estudo: Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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