Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph
Image-based teleconsultation using smartphones has become increasingly popular. In parallel, deep learning algorithms have been developed to detect radiological findings in chest X-rays (CXRs). However, the feasibility of using smartphones to automate this process has yet to be evaluated. This study...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021
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| Online Access: | https://hdl.handle.net/1721.1/130526 |