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Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks

Our objective is to evaluate the effectiveness of efficient convolutional neural networks (CNNs) for abnormality detection in chest radiographs and investigate the generalizability of our models on data from independent sources. We used the National Institutes of Health ChestX-ray14 (NIH-CXR) and th...

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Dades bibliogràfiques
Publicat a:J Digit Imaging
Autors principals: Pan, Ian, Agarwal, Saurabh, Merck, Derek
Format: Artigo
Idioma:Inglês
Publicat: Springer International Publishing 2019
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6737122/
https://ncbi.nlm.nih.gov/pubmed/30838482
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-019-00180-9
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