A preliminary study on the application of deep learning methods based on convolutional network to the pathological diagnosis of PJI.

Tao, Ye; Hu, Hanwen; Li, Jie; Li, Mengting; Zheng, Qingyuan; Zhang, Guoqiang; Ni, Ming

Tao, Ye; Hu, Hanwen; Li, Jie; Li, Mengting; Zheng, Qingyuan; Zhang, Guoqiang; Ni, Ming.

Afiliação

Tao Y; Department of Orthopedics, the Fourth Medical Center, Chinese PLA General Hospital, 51 Fucheng Road, Beijing, 100036, China.
Hu H; Department of Orthopedics, the Fourth Medical Center, Chinese PLA General Hospital, 51 Fucheng Road, Beijing, 100036, China.
Li J; Department of Orthopedics, the Fourth Medical Center, Chinese PLA General Hospital, 51 Fucheng Road, Beijing, 100036, China.
Li M; Department of Orthopedics, the Fourth Medical Center, Chinese PLA General Hospital, 51 Fucheng Road, Beijing, 100036, China.
Zheng Q; Department of Orthopedics, the Fourth Medical Center, Chinese PLA General Hospital, 51 Fucheng Road, Beijing, 100036, China.
Zhang G; Department of Orthopedics, the Fourth Medical Center, Chinese PLA General Hospital, 51 Fucheng Road, Beijing, 100036, China.
Ni M; Department of Orthopedics, the Fourth Medical Center, Chinese PLA General Hospital, 51 Fucheng Road, Beijing, 100036, China. niming301@163.com.

Arthroplasty ; 4(1): 49, 2022 Oct 14.

Article em En | MEDLINE | ID: mdl-36229852

Palavras-chave

Deep learning; Infected area; Neutrophil count; PJI (Prosthetic Joint Infections)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Arthroplasty Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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