Classification and visual explanation for COVID-19 pneumonia from CT images using triple learning

This study presents a novel framework for classifying and visualizing pneumonia induced by COVID-19 from CT images. Although many image classification methods using deep learning have been proposed, in the case of medical image fields, standard classification methods are unable to be used in some ca...

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Detalles Bibliográficos
Autores principales: Kato, Sota, Oda, Masahiro, Mori, Kensaku, Shimizu, Akinobu, Otake, Yoshito, Hashimoto, Masahiro, Akashi, Toshiaki, Hotta, Kazuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716499/
https://www.ncbi.nlm.nih.gov/pubmed/36460708
http://dx.doi.org/10.1038/s41598-022-24936-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716499/
https://www.ncbi.nlm.nih.gov/pubmed/36460708
http://dx.doi.org/10.1038/s41598-022-24936-6

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