The Impact of Histogram Equalization and Color Mapping on ResNet-34's Overall Performance for COVID-19 Detection-Reference-Cited by-同舟云学术

The Impact of Histogram Equalization and Color Mapping on ResNet-34's Overall Performance for COVID-19 Detection

Published:2021-02-18 Issue: Volume: Page:
ISSN:
Container-title:2021 4th International Conference on Data Storage and Data Engineering
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Author:

David Freire Jonathan¹,Rodrigo Montenegro Jordan¹,Andres Mejia Hector¹,Paul Guzman Franz¹,Enrique Bustamante Carlos²,Xavier Velastegui Ronny³,De Los Angeles Guachi Lorena⁴

Affiliation:

1. Yachay Tech University, Ecuador

2. Arizona State University, United States

3. Norwegian University of Science and Technology and SDAS Research Group, Ecuador

4. Universidad Internacional del Ecuador and SDAS Research Group, Ecuador

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3456146.3456154

Reference33 articles.

1. Sohaib Asif Yi Wenhui Hou Jin Yi Tao and Si Jinhai. 2020. Classification ofCOVID-19 from Chest X-ray images using Deep Convolutional Neural Networks. medRxiv(2020). Sohaib Asif Yi Wenhui Hou Jin Yi Tao and Si Jinhai. 2020. Classification ofCOVID-19 from Chest X-ray images using Deep Convolutional Neural Networks. medRxiv(2020).

2. Image processing in digital radiography: basic concepts and applications;Barnes Gary T;Journal of digital imaging2,1989

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