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Related Concept Videos

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Related Experiment Video

Updated: Oct 12, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
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Detection and Classification of COVID-19 by Lungs Computed Tomography Scan Image Processing using Intelligence

Naser Safdarian1, Nader Jafarnia Dabanloo2

  • 1Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Journal of Medical Signals and Sensors
|November 25, 2021
PubMed
Summary

This study introduces an automated algorithm for diagnosing COVID-19 using lung CT scans. The method accurately classifies disease presence and damage types across various demographics, aiding rapid detection.

Keywords:
COVID-19Classificationcomputerized tomographydetectionmedical image processing

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Area of Science:

  • Medical Imaging
  • Artificial Intelligence in Medicine
  • Infectious Disease Diagnostics

Background:

  • Over 42 million global cases of COVID-19 necessitate advanced diagnostic tools.
  • Clinical symptoms are common but less accurate than imaging for COVID-19 diagnosis.
  • Computed tomography (CT) scans offer a more precise method for detecting lung abnormalities.

Purpose of the Study:

  • To examine COVID-19-induced lung abnormalities using CT scans.
  • To develop an automated algorithm for detecting and classifying COVID-19.
  • To assess the algorithm's accuracy across different demographic groups and damage types.

Main Methods:

  • Utilized lung CT scan images from 79 participants.
  • Developed and applied an automatic classification algorithm for image processing.
  • Processed CT scans to diagnose and classify COVID-19 in diverse populations.

Main Results:

  • The proposed algorithm achieved high accuracy in detecting and classifying COVID-19.
  • The method demonstrated effectiveness across various categories including gender, age, and COVID-19 damage type.
  • The algorithm accurately distinguished between healthy subjects and COVID-19 patients.

Conclusions:

  • An automated classification algorithm using lung CT scans is effective for COVID-19 diagnosis.
  • The algorithm provides rapid and accurate classification, supporting clinical decision-making.
  • This approach enhances the identification of COVID-19 and its associated lung damage patterns.