Deep Learning Algorithms with LIME and Similarity Distance Analysis on COVID-19 Chest X-ray Dataset.

Chen, Kuan-Yung; Lee, Hsi-Chieh; Lin, Tsung-Chieh; Lee, Chih-Ying; Ho, Zih-Ping

Chen, Kuan-Yung; Lee, Hsi-Chieh; Lin, Tsung-Chieh; Lee, Chih-Ying; Ho, Zih-Ping.

Afiliação

Chen KY; Department of Radiology, Chang Bing Show Chwan Memorial Hospital, Changhua 505, Taiwan.
Lee HC; Department of Computer Science and Information Engineering, National Quemoy University, Kinmen County 892, Taiwan.
Lin TC; Department of Computer Science and Information Engineering, National Quemoy University, Kinmen County 892, Taiwan.
Lee CY; College of Bioresources and Agriculture, National Taiwan University, Taipei 106, Taiwan.
Ho ZP; Department of Business Administration, Chihlee University of Technology, New Taipei City 220, Taiwan.

Int J Environ Res Public Health ; 20(5)2023 02 28.

Article em En | MEDLINE | ID: mdl-36901338

Assuntos

COVID-19; Conjuntos de Dados como Assunto; Aprendizado Profundo; Raios X; Humanos; Algoritmos; Radiografia Pulmonar de Massa

Palavras-chave

COVID-19; LIME (Local Interpretable Model-agnostic Explanations); PCA; U-Net segmentation; feature space; machine learning; outlier; similarity distance

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Raios X / Conjuntos de Dados como Assunto / Aprendizado Profundo / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Taiwan País de publicação: Suíça

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