Open AccessNeural Networks Oblige Diagnosis of the Ischemic CVA’s by MRI
Author(s) -
Pallavi Srivastava,
Kirti Mishra,
Chitrangada Chaubey
Publication year - 2021
Publication title -
journal of pharmaceutical research international
Language(s) - English
Resource type - Journals
ISSN - 2456-9119
DOI - 10.9734/jpri/2021/v33i46a32855
Subject(s) - artificial neural network , identification (biology) , classifier (uml) , clinical diagnosis , computer science , artificial intelligence , medical imaging , medicine , radiology , medical physics , machine learning , intensive care medicine , botany , biology
In present time the technological & computing evolution are promoted for new opportunities that will help to improve the standard of life between the new medical accomplishments, in particular and the standard of diagnostic evaluations. MRI is one of the imaging equipment for the diagnosis which has become more beneficial for technological development, because of this and due to the standard of a diagnosis manufacturer, that is one of the most engaging apparatus in the clinical application. The attentiveness in that pathology & in the general the encephalon picture analysis as the preventive diagnosis. The present research paper suggests the evaluation of the ability of ANN for the automatic identification of an ICVA by tissue images density obtained by MRI. In this examination the diagnosis and their medical reports were used to train the ANN classifier which extracted features from the given images. In this stage the ANN significantly contributes to the ICVA of MRI diagnosis aid, so since the test occurrence automatic identification of ischemic lesions that has been performed with the accuracy results that will be false positive and false negative.