Quantitative evaluation model of variable diagnosis for chest X-ray images using deep learning.

The purpose of this study is to demonstrate the use of a deep learning model in quantitatively evaluating clinical findings typically subject to uncertain evaluations by physicians, using binary test results based on routine protocols. A chest X-ray is the most commonly used diagnostic tool for the...

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Váldodahkkit: Shota Nakagawa, Naoaki Ono, Yukichika Hakamata, Takashi Ishii, Akira Saito, Shintaro Yanagimoto, Shigehiko Kanaya
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: Public Library of Science (PLoS) 2024-03-01
Ráidu:PLOS Digital Health
Liŋkkat:https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000460&type=printable