Current limitations to identify covid-19 using artificial intelligence with chest x-ray imaging (part ii). The shortcut learning problem

Since the outbreak of the COVID-19 pandemic, computer vision researchers have been working on automatic identification of this disease using radiological images. The results achieved by automatic classification methods far exceed those of human specialists, with sensitivity as high as 100% being rep...

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Detalles Bibliográficos
Autores principales: López-Cabrera, José Daniel, Orozco-Morales, Rubén, Portal-Díaz, Jorge Armando, Lovelle-Enríquez, Orlando, Pérez-Díaz, Marlén
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Review Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502237/
https://www.ncbi.nlm.nih.gov/pubmed/34660166
http://dx.doi.org/10.1007/s12553-021-00609-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502237/
https://www.ncbi.nlm.nih.gov/pubmed/34660166
http://dx.doi.org/10.1007/s12553-021-00609-8

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