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Bias Analysis on Public X-Ray Image Datasets of Pneumonia and COVID-19 Patients

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Bias Analysis on Public X-Ray Image Datasets of Pneumonia and COVID-19 Patients

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Omar del Tejo Catalá; Salvador Igual, I.; Perez-Benito, FJ.; Millan-Escriva, D.; Ortiz, V.; Llobet Azpitarte, R.; Perez-Cortes, J. (2021). Bias Analysis on Public X-Ray Image Datasets of Pneumonia and COVID-19 Patients. IEEE Access. 9:42370-42383. https://doi.org/10.1109/ACCESS.2021.3065456

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/183723

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Title: Bias Analysis on Public X-Ray Image Datasets of Pneumonia and COVID-19 Patients
Author: Omar del Tejo Catalá Salvador Igual, Ismael Perez-Benito, Francisco Javier Millan-Escriva, David ORTIZ, V. Llobet Azpitarte, Rafael Perez-Cortes, Juan-Carlos
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Instituto Universitario Mixto de Tecnología de Informática - Institut Universitari Mixt de Tecnologia d'Informàtica
Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] Chest X-ray images are useful for early COVID-19 diagnosis with the advantage that X-ray devices are already available in health centers and images are obtained immediately. Some datasets containing X-ray images with ...[+]
Subjects: Deep learning , COVID-19 , Convolutional neural networks , Chest X-ray , Bias , Segmentation , Saliency map
Copyrigths: Reconocimiento (by)
Source:
IEEE Access. (eissn: 2169-3536 )
DOI: 10.1109/ACCESS.2021.3065456
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/ACCESS.2021.3065456
Project ID:
info:eu-repo/grantAgreement/IVACE//IMDEEA%2F2020%2F69//RADIATUS4. Infraestructura elástica y federada para el Análisis Big Data en la nube/
Thanks:
This work was supported by Generalitat Valenciana through the "Instituto Valenciano de Competitividad Empresarial-IVACE'' under Grant IMDEEA/2020/69.
Type: Artículo

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