Detection Of Alzheimer’s Disease Final Year Projects with Source Code
Detection Of Alzheimer’s Disease Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Detection Of Alzheimer’s Disease projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.
Detection Of Alzheimer’s Disease Final Year Projects
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Detection of Alzheimer Disease on Online Handwriting Using 1D Convolutional Neural Network
This project focuses on detecting early-stage Alzheimer’s disease using patterns in people’s handwriting captured online. Since there is limited data available, the study uses a special type of artificial intelligence, called DoppelGANger, to generate realistic handwriting examples. These generated examples help train a neural network to recognize Alzheimer’s more accurately. The approach was tested on real handwriting data and showed much better results than existing methods. -
Leveraging Brain MRI for Biomedical Alzheimers Disease Diagnosis Using Enhanced Manta Ray Foraging Optimization Based Deep Learning
This project focuses on improving the diagnosis of Alzheimer’s disease using brain MRI scans. It uses deep learning to automatically analyze images and extract important features, reducing the need for manual input from experts. The method combines a DenseNet model for feature extraction with an optimized neural network for classification. Tests show that this approach gives more accurate results than existing techniques.
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Detection Of Alzheimer’s Disease Project Synopsis & Presentation
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