COVID-19 prediction using chest X-ray medical images and Deep Learning

Nuria Pereira Espasandín; David Maseda Neira; Diana Marcela Noriega Cobo; Iago Iglesias Corrás; Alejandro Pazos; Julián Dorado; Cristian Robert Munteanu

doi:10.3390/mol2net-07-09260

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COVID-19 prediction using chest X-ray medical images and Deep Learning

Nuria Pereira Espasandín

^{*

1},

David Maseda Neira

¹,

Diana Marcela Noriega Cobo

¹,

Iago Iglesias Corrás

¹,

Alejandro Pazos

^{1, 2, 3},

Julián Dorado

^{1, 2},

Cristian Robert Munteanu

^{1, 2, 3}

¹ Computer Science Faculty, University of Coruña, 15071 A Coruña, Spain
² Centro de Investigación en Tecnologías de la Información y las Comunicaciones (CITIC), Campus de Elviña s/n 15071 A Coruña, Spain
³ Biomedical Research Institute of A Coruña (INIBIC), University Hospital Complex of A Coruña (CHUAC), 15006, A Coruña, Spain

Published: 21 February 2021 by MDPI in MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed. congress AI.MED-08: AI, Neuro Sciences, Med. Info., & Biomed. Eng. Congress, Coruña, Spain-Carleton, Canada-Stanford, USA, 2021

https://doi.org/10.3390/mol2net-07-09260

Abstract:

The current project is proposing a simple, fast and free solution to predict COVID-19 using a chest X-ray image as inputs and python scripts with deep learning from Fastai package. This is a prototype classifier to be improved and implemented as Web and mobile apps.

Keywords: COVID-19; chest X-Ray image; predict; deep learning;

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