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Preliminary Stages for COVID-19 Detection Using Image Processing.

Taqwa Ahmed Alhaj1,2, Inshirah Idris3, Fatin A Elhaj4

  • 1School of Computing, Universiti Teknologi Malaysia, Johor Bahru 81310, Johor, Malaysia.

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Summary
This summary is machine-generated.

This study introduces a new taxonomy for early COVID-19 detection using medical imaging and artificial intelligence. It covers all image processing stages before classification, aiming for faster, more reliable public health diagnostics.

Keywords:
COVID-19CTX-rayaugmentationfeature extractionpreprocessingsegmentationtransfer learning

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Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Public Health

Background:

  • COVID-19, first identified in December 2019, has caused widespread illness and fatalities globally.
  • Medical imaging combined with AI offers potential for enhanced efficiency and reliability in public health diagnostics.
  • Current taxonomies for COVID-19 detection primarily focus on classification methods, overlooking earlier image processing stages.

Purpose of the Study:

  • To propose a novel taxonomy for early-stage COVID-19 detection.
  • To provide a comprehensive overview of image processing techniques in COVID-19 detection.
  • To address the limitations of existing classification-centric taxonomies.

Main Methods:

  • Literature review of existing COVID-19 detection taxonomies.
  • Development of a new taxonomy encompassing image acquisition, preprocessing, and feature extraction.
  • Analysis of image processing phases preceding classification.

Main Results:

  • Identification of a gap in current taxonomies regarding pre-classification image processing stages.
  • Proposal of a new, comprehensive taxonomy for early COVID-19 detection.
  • Framework for understanding the complete image processing pipeline for COVID-19 diagnostics.

Conclusions:

  • Existing taxonomies for COVID-19 detection are incomplete, often omitting crucial early image processing steps.
  • The proposed taxonomy offers a more holistic approach to leveraging medical imaging and AI for early COVID-19 detection.
  • Further research is needed to address outstanding challenges and explore future directions in AI-driven diagnostic systems.