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6th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2022
; : 1017-1020, 2022.
Article
in English
| Scopus | ID: covidwho-2152478
ABSTRACT
An approach for automated knowledge extraction and decision-making from medical images through a workflow for preprocessing of incoming X-ray images, analysis, classification and evaluation of the results is presented in this paper. The designed algorithm for analysis of medical X-rays images is based on machine learning and consists of three main phases: preprocessing of training and validation datasets, medical images classification utilizing Logistic Regression, Naive Bayes, SVM methods, evaluation of the model. A workflow was developed to process and analyze datasets of lung X-ray images containing four classes, and determine classification accuracy by examining performance evaluation parameters. © 2022 IEEE.