R Tanaka, I Matsumoto, M Tamura… - … Imaging in Medicine …, 2021 - ncbi.nlm.nih.gov
… digital radiography technology have led to the development of dynamic chestradiography (… than that of conventional chestradiography, and that sequential chestradiographs can be …
JH Kim, JY Kim, GH Kim, D Kang, IJ Kim, J Seo… - Journal of Clinical …, 2020 - mdpi.com
… All acute FRI patients in the present study underwent posteroanterior chestradiographs, acquired with a single dedicated radiography unit (GC85A, Samsung Healthcare, Seoul, Korea)…
… We have discussed in this paper a mechanism for validating the performance of the VinDr-CXR system in classifying normal/abnormal chestradiographs at the Phu Tho General …
D Ueda, A Yamamoto, A Shimazaki, SL Walston… - BMC cancer, 2021 - Springer
… The purpose of the present study was to validate a commercially available AI-based CAD that achieved higher performance in detecting lung cancer from chestradiographs. To …
NH Nguyen, HQ Nguyen, NT Nguyen… - Frontiers in Digital …, 2022 - frontiersin.org
Background The purpose of this paper is to demonstrate a mechanism for deploying and validating an AI-based system for detecting abnormalities on chest X-ray scans at the Phu Tho …
J Rudolph, B Schachtner, N Fink, V Koliogiannis… - Scientific Reports, 2022 - nature.com
… We defined the four target diseases as common, clinically important thoracic diseases of emergency radiology for which the primary diagnosis is usually made by chestradiography and …
EJ Hwang, S Park, KN Jin, J Im Kim, SY Choi… - JAMA network …, 2019 - jamanetwork.com
… on chestradiographs. [published online November 12, 2018]. … Importance Interpretation of chestradiographs is a … chestradiographs may help streamline the clinical workflow. …
… A retrospectively obtained independent set of de-identified chestradiographs (… chest CT within 2 weeks of chestradiography was used to evaluate the performance of the QUIBIM Chest …
MW Sjoding, D Taylor, J Motyka, E Lee… - The Lancet Digital …, 2021 - thelancet.com
… could first learn to extract general features from chestradiographs by pretraining the CNN to identify other common findings on chestradiographic studies, it might be able to borrow …