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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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Dettagli Bibliografici
Pubblicato in:Diagnostics (Basel)
Autori principali: Sugimori, Hiroyuki, Shimizu, Kaoruko, Makita, Hironi, Suzuki, Masaru, Konno, Satoshi
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI 2021
Soggetti:
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8224354/
https://ncbi.nlm.nih.gov/pubmed/34064240
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics11060929
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