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Impact Factor : 8.14

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Paper Title: Machine Learning Based Covid19 Identification from Chest CT Images using GLCM Features
Authors Name: Desetti Vamsi Krishna , Dr. S. Narayana Reddy
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IJRTI_182434
Published Paper Id: IJRTI2206144
Published In: Volume 7 Issue 6, June-2022
DOI:
Abstract: The pandemic was announced by the World Health Organization corona virus (COVID-19) universal health dilemma. Any scientific appliance which contributes expeditious detection of corona virus with a huge recognition rate may be excessively fruitful to doctors. In this environment, innovative automation like deep learning, machine learning, image processing and medical image like chest radiography (CXR), computed tomography (CT) has been refined promising solution contrary to COVID-19. Currently, a reverse transcription-polymerase chain reaction (RT-PCR) test has been used to detect the corona virus. Due to the moratorium period is high on results tested and huge false negative estimates, substitute solutions are desired. Thus, an automated machine learning-based algorithm is proposed for the detection of COVID-19. The symptoms seen in these cases were not much different than those seen in case of pneumonia. Earlier the research has been carried out in the field of pneumonia identification and classification through CT- images of chest. The difficulty in identifying Covid19 infection at initial stage is due to high resemblance of its symptoms with the infection caused due to pneumonia. Hence it is trivial to well distinguish cases of corona virus from pneumonia that may help in saving life of patients. The paper uses chest CT images to identify Covid19 infection in lungs using machine learning classifiers and ensembles with Gray-Level Co-occurrence Matrix (GLCM) features. The advocated methodology extracts statistical texture features from CT images by computing a GLCM for each image. The matrix is computed by considering various stride combinations. These GLCM features are used to train the machine learning classifiers and ensembles. The dataset used for evaluating performance of the method is open sourced and can be accessed easily. Proposed method being simple and computationally effective achieves noteworthy performance in terms of Accuracy and Sensitivity. The proposed system developed on MATLAB 2013a version.
Keywords: GLCM, Machine Learning, CT Images, COVID19 etc.
Cite Article: "Machine Learning Based Covid19 Identification from Chest CT Images using GLCM Features", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.875 - 882, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206144.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2206144
Registration ID:182434
Published In: Volume 7 Issue 6, June-2022
DOI (Digital Object Identifier):
Page No: 875 - 882
Country: Tirupati , Andhra Pradesh , India
Research Area: Electronics & Communication Engg. 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206144
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206144
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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