A Comparative Evaluation of Computed Tomography Images for the Classification of Spirometric Severity of the Chronic Obstructive Pulmonary Disease with Deep Learning

Recently, deep learning applications in medical imaging have been widely applied. However, whether it is sufficient to simply input the entire image or whether it is necessary to preprocess the setting of the supervised image has not been sufficiently studied. This study aimed to create a classifier...

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Detalles Bibliográficos
Autores principales: Sugimori, Hiroyuki, Shimizu, Kaoruko, Makita, Hironi, Suzuki, Masaru, Konno, Satoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8224354/
https://www.ncbi.nlm.nih.gov/pubmed/34064240
http://dx.doi.org/10.3390/diagnostics11060929

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8224354/
https://www.ncbi.nlm.nih.gov/pubmed/34064240
http://dx.doi.org/10.3390/diagnostics11060929

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