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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592247/ https://www.ncbi.nlm.nih.gov/pubmed/34825055 http://dx.doi.org/10.7717/peerj-cs.738 |