Combining LSTM and DenseNet for Automatic Annotation and Classification of Chest X-Ray Images
The chest X-ray is a simple and economical medical aid for auxiliary diagnosis and therefore has become a routine item for residents' physical examinations. Based on 40167 images of chest radiographs and corresponding reports, we explore the abnormality classification problem of chest X-rays by...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8727965/ |