Deep convolutional neural network for reduction of contrast-enhanced region on CT images

This study aims to produce non-contrast computed tomography (CT) images using a deep convolutional neural network (CNN) for imaging. Twenty-nine patients were selected. CT images were acquired without and with a contrast enhancement medium. The transverse images were divided into 64 × 64 pixels. Thi...

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Salvato in:
Dettagli Bibliografici
Pubblicato in:J Radiat Res
Autori principali: Sumida, Iori, Magome, Taiki, Kitamori, Hideki, Das, Indra J, Yamaguchi, Hajime, Kizaki, Hisao, Aboshi, Keiko, Yamashita, Kyohei, Yamada, Yuji, Seo, Yuji, Isohashi, Fumiaki, Ogawa, Kazuhiko
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2019
Soggetti:
Regular Papers
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6805976/
https://ncbi.nlm.nih.gov/pubmed/31125068
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jrr/rrz030
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