Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net

COVID-19 has expanded overall across the globe after its initial cases were discovered in December 2019 in Wuhan—China. Because the virus has impacted people's health worldwide, its fast identification is essential for preventing disease spread and reducing mortality rates. The reverse transcri...

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Detalles Bibliográficos
Autores principales: Gupta, Aman, Mishra, Shashank, Sahu, Sourav Chandan, Srinivasarao, Ulligaddala, Naik, K. Jairam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Japan 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173914/
https://www.ncbi.nlm.nih.gov/pubmed/37229179
http://dx.doi.org/10.1007/s00354-023-00217-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173914/
https://www.ncbi.nlm.nih.gov/pubmed/37229179
http://dx.doi.org/10.1007/s00354-023-00217-2

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