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...
| Published in: | Journal of Digital Imaging Vol. 32; no. 5; pp. 888 - 897 |
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| Main Authors: | , , |
| Format: | diagnostic images research tables/charts Journal Article |
| Published: |
Springer Nature
Oct2019
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| Online Access: | View this record in EBSCOhost |