Prediction of bone mineral density in CT using deep learning with explainability.

Kang, Jeong-Woon; Park, Chunsu; Lee, Dong-Eon; Yoo, Jae-Heung; Kim, MinWoo

Kang, Jeong-Woon; Park, Chunsu; Lee, Dong-Eon; Yoo, Jae-Heung; Kim, MinWoo.

Afiliação

Kang JW; Department of Information Convergence Engineering, Pusan National University, Yangsan, South Korea.
Park C; Department of Information Convergence Engineering, Pusan National University, Yangsan, South Korea.
Lee DE; Department of Information Convergence Engineering, Pusan National University, Yangsan, South Korea.
Yoo JH; Busan Medical Center, Department of Orthopedic Surgery, Busan, South Korea.
Kim M; Department of Biomedical Convergence Engineering, Pusan National University, Yangsan, South Korea.

Front Physiol ; 13: 1061911, 2022.

Article em En | MEDLINE | ID: mdl-36703938

Palavras-chave

bone mineral density; computational tomography; deep learning; dual energy X-ray absorptiometry; explainable artificial intelligence

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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