[Classification Model of Corneal Opacity Based on Digital Image Features].

Luo, Peng; Zheng, Jilong; Zhou, Peng; Zhang, Yongde; Chang, Shijie; Sha, Xianzheng

Luo, Peng; Zheng, Jilong; Zhou, Peng; Zhang, Yongde; Chang, Shijie; Sha, Xianzheng.

Afiliação

Luo P; Department of Biomedical Engineering, China Medical University, Shenyang, 110122.
Zheng J; Department of Forensic Medicine, China Criminal Police University, Shenyang, 110035.
Zhou P; Department of Biomedical Engineering, China Medical University, Shenyang, 110122.
Zhang Y; Department of Biomedical Engineering, China Medical University, Shenyang, 110122.
Chang S; Department of Biomedical Engineering, China Medical University, Shenyang, 110122.
Sha X; Department of Biomedical Engineering, China Medical University, Shenyang, 110122.

Zhongguo Yi Liao Qi Xie Za Zhi ; 45(4): 361-365, 2021 Jul 30.

Article em Zh | MEDLINE | ID: mdl-34363357

Assuntos

Opacidade da Córnea; Máquina de Vetores de Suporte; Animais; Suínos

Palavras-chave

SVM; corneal opacity; feature extraction; feature selection

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Opacidade da Córnea / Máquina de Vetores de Suporte Tipo de estudo: Prognostic_studies Limite: Animals Idioma: Zh Revista: Zhongguo Yi Liao Qi Xie Za Zhi Ano de publicação: 2021 Tipo de documento: Article País de publicação: China

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