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Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs

Ensuring correct radiograph view labeling is important for machine learning algorithm development and quality control of studies obtained from multiple facilities. The purpose of this study was to develop and test the performance of a deep convolutional neural network (DCNN) for the automated classi...

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Dettagli Bibliografici
Pubblicato in:J Digit Imaging
Autori principali: Kim, Tae Kyung, Yi, Paul H., Wei, Jinchi, Shin, Ji Won, Hager, Gregory, Hui, Ferdinand K., Sair, Haris I., Lin, Cheng Ting
Natura: Artigo
Lingua:Inglês
Pubblicazione: Springer International Publishing 2019
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6841900/
https://ncbi.nlm.nih.gov/pubmed/30972585
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-019-00208-0
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