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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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Detalhes bibliográficos
Publicado no:J Digit Imaging
Main Authors: Kim, Tae Kyung, Yi, Paul H., Wei, Jinchi, Shin, Ji Won, Hager, Gregory, Hui, Ferdinand K., Sair, Haris I., Lin, Cheng Ting
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2019
Assuntos:
Acesso em linha: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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