International Journal For Multidisciplinary Research
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Plagiarism is checked by the leading plagiarism checker
Volume 6 Issue 2
Detection of Ground Glass Opacities in COVID-19 Lung CT Images using Frangi Multiscale Vesselness Measure
|Soma Chatterjee, Rohit Kamal Chatterjee, R T Goswami
|In this work, an automated technique for the quick and accurate detection of Ground Glass Opacities (GGO) in chest CT images of COVID-19 pneumonia patients is presented. The method uses mathematical morphology-based methods and Otsu's thresholding during the segmentation of GGO regions in order to extract the lung fields. The program uses the Frangi Multiscale Vesselness Measure to identify and remove these structures based on the anatomical features of bronchioles. Using a dataset of 155 lung CT images, the study outperformed previous algorithms in terms of sensitivity, specificity, and accuracy, all exceeding 97.22%. Radiologists can be helped by this automated screening method to quickly find GGOs in lung CT scans.
|Ground Glass Opacities (GGO), COVID-19 pneumonia, Chest CT scans, Mathematical morphology, Frangi Multiscale Vesselness Measure
|Computer > Artificial Intelligence / Simulation / Virtual Reality
|Volume 6, Issue 1, January-February 2024
|Detection of Ground Glass Opacities in COVID-19 Lung CT Images using Frangi Multiscale Vesselness Measure - Soma Chatterjee, Rohit Kamal Chatterjee, R T Goswami - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.13030
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.