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Automated abnormality classification of chest radiographs using deep convolutional neural networks

As one of the most ubiquitous diagnostic imaging tests in medical practice, chest radiography requires timely reporting of potential findings and diagnosis of diseases in the images. Automated, fast, and reliable detection of diseases based on chest radiography is a critical step in radiology workfl...

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Bibliografiske detaljer
Udgivet i:NPJ Digit Med
Main Authors: Tang, Yu-Xing, Tang, You-Bao, Peng, Yifan, Yan, Ke, Bagheri, Mohammadhadi, Redd, Bernadette A., Brandon, Catherine J., Lu, Zhiyong, Han, Mei, Xiao, Jing, Summers, Ronald M.
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2020
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7224391/
https://ncbi.nlm.nih.gov/pubmed/32435698
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-020-0273-z
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