Automated urinary sediment detection for Fabry disease using deep-learning algorithms.

Uryu, Hidetaka; Migita, Ohsuke; Ozawa, Minami; Kamijo, Chikako; Aoto, Saki; Okamura, Kohji; Hasegawa, Fuyuki; Okuyama, Torayuki; Kosuga, Motomichi; Hata, Kenichiro

Uryu, Hidetaka; Migita, Ohsuke; Ozawa, Minami; Kamijo, Chikako; Aoto, Saki; Okamura, Kohji; Hasegawa, Fuyuki; Okuyama, Torayuki; Kosuga, Motomichi; Hata, Kenichiro.

Afiliação

Uryu H; Medical Genome Center, National Research Institute for Child Health and Development, Tokyo 157-8535, Japan.
Migita O; Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX 77030-4009, USA.
Ozawa M; Department of Laboratory Medicine, St. Marianna University School of Medicine, Kanagawa 216-8511, Japan.
Kamijo C; Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo 157-8535, Japan.
Aoto S; Department of Pediatrics, St. Marianna University School of Medicine, Kanagawa 216-8511, Japan.
Okamura K; Department of Pediatrics, St. Marianna University School of Medicine, Kanagawa 216-8511, Japan.
Hasegawa F; Department of Laboratory Medicine, St. Marianna University School of Medicine, Kanagawa 216-8511, Japan.
Okuyama T; Medical Genome Center, National Research Institute for Child Health and Development, Tokyo 157-8535, Japan.
Kosuga M; Department of Systems BioMedicine, National Research Institute for Child Health and Development, Tokyo 157-8535, Japan.
Hata K; Biobank, National Center for Child Health and Development Research Center, Tokyo 157-8535, Japan.

Mol Genet Metab Rep ; 33: 100921, 2022 Dec.

Article em En | MEDLINE | ID: mdl-36186840

Palavras-chave

AI, artificial intelligence; AUC, area under the curve; AdHE, adaptive histogram equalization; Artificial intelligence; CNN, convolutional neural network; CntStr, contrast stretching; Deep learning; ERT, enzyme replacement therapy; Fabry disease; Image augmentation; InceptResNet, InceptionResNetV2; Mulberry cells; OrdHE, ordinary histogram equalization; ROC, receiver operating characteristic; Xcep, Xception; alpha-Gal A, α- galactosidase A

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Mol Genet Metab Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Japão

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