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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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Bibliografski detalji
Izdano u:J Digit Imaging
Glavni autori: Kim, Tae Kyung, Yi, Paul H., Wei, Jinchi, Shin, Ji Won, Hager, Gregory, Hui, Ferdinand K., Sair, Haris I., Lin, Cheng Ting
Format: Artigo
Jezik:Inglês
Izdano: Springer International Publishing 2019
Teme:
Online pristup: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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