Development of an automated optimal distance feature-based decision system for diagnosing knee osteoarthritis using segmented X-ray images.

Fatema, Kaniz; Rony, Md Awlad Hossen; Azam, Sami; Mukta, Md Saddam Hossain; Karim, Asif; Hasan, Md Zahid; Jonkman, Mirjam

Fatema, Kaniz; Rony, Md Awlad Hossen; Azam, Sami; Mukta, Md Saddam Hossain; Karim, Asif; Hasan, Md Zahid; Jonkman, Mirjam.

Afiliação

Fatema K; Health Informatics Research Lab, Department of Computer Science and Engineering, Daffodil International University, Dhaka, 1341, Bangladesh.
Rony MAH; Health Informatics Research Lab, Department of Computer Science and Engineering, Daffodil International University, Dhaka, 1341, Bangladesh.
Azam S; Faculty of Science and Technology, Charles Darwin University, Darwin, NT, 0909, Australia.
Mukta MSH; Department of Computer Science and Engineering, United International University, Dhaka, 1212, Bangladesh.
Karim A; Faculty of Science and Technology, Charles Darwin University, Darwin, NT, 0909, Australia.
Hasan MZ; Health Informatics Research Lab, Department of Computer Science and Engineering, Daffodil International University, Dhaka, 1341, Bangladesh.
Jonkman M; Faculty of Science and Technology, Charles Darwin University, Darwin, NT, 0909, Australia.

Heliyon ; 9(11): e21703, 2023 Nov.

Article em En | MEDLINE | ID: mdl-38027947

Palavras-chave

Decision making system; Feature extraction; Feature selection; Knee osteoarthritis; Machine learning; Proposed features; Segmentation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Heliyon Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bangladesh País de publicação: Reino Unido

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