Gender and age detection assist convolutional neural networks in classification of thorax diseases
Conventionally, convolutional neural networks (CNNs) have been used to identify and detect thorax diseases on chest x-ray images. To identify thorax diseases, CNNs typically learn two types of information: disease-specific features and generic anatomical features. CNNs focus on disease-specific feat...
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| Main Authors: | , |
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| Format: | article |
| Language: | EN |
| Published: |
PeerJ Inc.
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/3c91a42470f14b0e92a9b4af49ed205f |
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