Computer aided detection of tuberculosis using two classifiers.

Umar Ibrahim, Abdullahi; Al-Turjman, Fadi; Ozsoz, Mehmet; Serte, Sertan

Umar Ibrahim, Abdullahi; Al-Turjman, Fadi; Ozsoz, Mehmet; Serte, Sertan.

Afiliação

Umar Ibrahim A; Department of Biomedical Engineering, Near East University, Nicosia, Turkey.
Al-Turjman F; Department of Artificial Intelligence, Research Center for AI and IoT, Near East University, Nicosia, Turkey.
Ozsoz M; Department of Biomedical Engineering, Near East University, Nicosia, Turkey.
Serte S; Department of Electrical and Electronics Engineering, Near East University, Nicosia, Turkey.

Biomed Tech (Berl) ; 67(6): 513-524, 2022 Dec 16.

Article em En | MEDLINE | ID: mdl-36165698

Assuntos

Aprendizado Profundo; Tuberculose; Humanos; Inteligência Artificial; Redes Neurais de Computação; Tuberculose/diagnóstico; Computadores

Palavras-chave

AlexNet; SVM; chest X-ray; deep learning; microscopic slide; tuberculosis

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tuberculose / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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