Open AccessDetection of Ischemic Stroke Tissue Fate from the MRI Images Using a Deep Learning Approach
Author(s) -
Nouf Saeed Alotaibi,
Abdullah Shawan Alotaibi,
M. Eliazer,
Asadi Srinivasulu
Publication year - 2022
Publication title -
mobile information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.346
H-Index - 34
eISSN - 1875-905X
pISSN - 1574-017X
DOI - 10.1155/2022/9399876
Subject(s) - computer science , stroke (engine) , artificial intelligence , deep learning , convolutional neural network , infarction , magnetic resonance imaging , machine learning , perfusion scanning , subtraction , convolution (computer science) , pattern recognition (psychology) , set (abstract data type) , artificial neural network , perfusion , medicine , radiology , cardiology , mathematics , mechanical engineering , arithmetic , myocardial infarction , engineering , programming language
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