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...

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Detalles Bibliográficos
Autores principales: Sharma, Chandra Mani, Goyal, Lakshay, Chariar, Vijayaraghavan M., Sharma, Navel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
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

Internet

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

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