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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...
Autores principales: | Sugimori, Hiroyuki, Shimizu, Kaoruko, Makita, Hironi, Suzuki, Masaru, Konno, Satoshi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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