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Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing
Chest X-ray (CXR) imaging is one of the most widely used and economical tests to diagnose a wide range of diseases. However, even for expert radiologists, it is a challenge to accurately diagnose diseases from CXR samples. Furthermore, there remains an acute shortage of trained radiologists worldwid...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968389/ https://www.ncbi.nlm.nih.gov/pubmed/35368941 http://dx.doi.org/10.1155/2022/9036457 |