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Analysis and Neural Modeling of MRI Scans in Alzheimer's Disease | ||
| Journal of Advanced Medical Sciences and Applied Technologies | ||
| دوره 7، شماره 1، آذر 2022 اصل مقاله (638.65 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.30476/jamsat.2022.94240.1033 | ||
| نویسندگان | ||
| Avneet Saluja* ؛ Kinjal Rawat؛ Sakshi Mistry؛ Aryan Rajput؛ Tejas Pathak؛ Vishwas Patel | ||
| Department of Computer Science and Engineering, ITM Universe, Halol, Vadodara, Gujarat, India | ||
| چکیده | ||
| This study is aimed to demonstrate how analysis and neural modeling of the MRI scans of patients with Alzheimer’s disease can help in its diagnosis at an early stage. This can guide an early prediction and if applied with instant medications then it can help diminish the deterioration rate of the brain cells of the patients. The dataset of the MRI scans of patients was analyzed with the help of machine learning algorithms including ANN (Artificial Neural Network), K Nearest Neighbour(KNN), Linear Regression, Support Vector Machine(SVM), RESNET50 (Residual Network), and Exploratory Data Analysis (EDA) which resulted with KNN having the highest precision rate for group classification. | ||
| کلیدواژهها | ||
| FDG-PET؛ PIB-PET؛ MCI؛ Diagnosis؛ Automated regions of interest | ||
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آمار تعداد مشاهده مقاله: 1,224 تعداد دریافت فایل اصل مقاله: 416 |
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