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Application of Artificial Intelligence Methods for Detection of Fronto Temporal Dementia
Abstract Patients having Fronto Temporal Dementia have impaired cognitive skills, exhibit dysfunctional interpersonal, executive and behavioral traits and have decreased memory capabilities. This study uses the various Artificial Intelligence methods to classify the brain MR images as demented or normal. This study also captures the accuracy rate achieved with the various AI methods used.
Application of Artificial Intelligence Methods for Detection of Fronto Temporal Dementia
Abstract Patients having Fronto Temporal Dementia have impaired cognitive skills, exhibit dysfunctional interpersonal, executive and behavioral traits and have decreased memory capabilities. This study uses the various Artificial Intelligence methods to classify the brain MR images as demented or normal. This study also captures the accuracy rate achieved with the various AI methods used.
Application of Artificial Intelligence Methods for Detection of Fronto Temporal Dementia
Sandhya, N. (author) / Rama Prasath, A. (author)
2019-06-28
7 pages
Article/Chapter (Book)
Electronic Resource
English
Fronto Temporal Dementia (FTD) , Gray Level Co-occurrence Matrix (GLCM) , Back Propagation Network (BPN) , Support Vector Machine (SVM) , Naïve Bayes classifier Engineering , Quality Control, Reliability, Safety and Risk , Performance and Reliability , Circuits and Systems , Operations Research, Management Science
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