Detecting COVID-19 from Chest X-Ray Images using a Lightweight Deep Transfer Learning Model with Improved Contrast Enhancement Technique

Dave Jammin A Bacad; Patricia Angela R Abu

Detecting COVID-19 from Chest X-Ray Images using a Lightweight Deep Transfer Learning Model with Improved Contrast Enhancement Technique

Dave Jammin A Bacad, Patricia Angela R Abu

Ateneo de Manila University

Ateneo de Manila University

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Department of Information Systems & Computer Science Faculty Publications
State	Published - Jan 1 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

COVID-19
deep learning
adaptation models
pulmonary diseases
transfer learning
pipelines
lung
chest x-ray
image processing

Disciplines

Computer Sciences
Databases and Information Systems
Public Health
Pulmonology

Access to Document

https://ieeexplore.ieee.org/document/9664676

Cite this

@article{c6e58c321a6641a88fe6c22f87ee91a4,

title = "Detecting COVID-19 from Chest X-Ray Images using a Lightweight Deep Transfer Learning Model with Improved Contrast Enhancement Technique",

keywords = "COVID-19, deep learning, adaptation models, pulmonary diseases, transfer learning, pipelines, lung, chest x-ray, image processing",

author = "Bacad, \{Dave Jammin A\} and Abu, \{Patricia Angela R\}",

note = "Bacad, D. J. A., \& Angela R. Abu, P. (2021). Detecting COVID-19 from chest x-ray images using a lightweight deep transfer learning model with improved contrast enhancement technique. 2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE), 1–8. https://doi.org/10.1109/ICECIE52348.2021.9664676",

year = "2021",

month = jan,

day = "1",

language = "American English",

journal = "Department of Information Systems \& Computer Science Faculty Publications",

}

TY - JOUR

T1 - Detecting COVID-19 from Chest X-Ray Images using a Lightweight Deep Transfer Learning Model with Improved Contrast Enhancement Technique

AU - Bacad, Dave Jammin A

AU - Abu, Patricia Angela R

N1 - Bacad, D. J. A., & Angela R. Abu, P. (2021). Detecting COVID-19 from chest x-ray images using a lightweight deep transfer learning model with improved contrast enhancement technique. 2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE), 1–8. https://doi.org/10.1109/ICECIE52348.2021.9664676

PY - 2021/1/1

Y1 - 2021/1/1

KW - COVID-19

KW - deep learning

KW - adaptation models

KW - pulmonary diseases

KW - transfer learning

KW - pipelines

KW - lung

KW - chest x-ray

KW - image processing

UR - https://archium.ateneo.edu/discs-faculty-pubs/246

UR - https://ieeexplore.ieee.org/document/9664676

M3 - Article

JO - Department of Information Systems & Computer Science Faculty Publications

JF - Department of Information Systems & Computer Science Faculty Publications

ER -

Detecting COVID-19 from Chest X-Ray Images using a Lightweight Deep Transfer Learning Model with Improved Contrast Enhancement Technique

UN SDGs

Keywords

Disciplines

Access to Document

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