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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Bibliographic Details
Main Authors: Hiroyuki Sugimori, Kaoruko Shimizu, Hironi Makita, Masaru Suzuki, Satoshi Konno
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/11/6/929