AyaFergany/GraduationProject-Alzheimer-s-disease-detection
deep learning models that detect the degrees of Alzheimer’s disease. applying various types of convolutional neural networks like SqueezeNet, DenseNet121 and VGG19 on ADNI dataset .
This project helps neurologists and medical imaging specialists analyze brain MRI scans to identify the presence and severity of Alzheimer's disease. By inputting MRI images, it provides a classification indicating whether a patient's brain shows signs of Alzheimer's, mild cognitive impairment, or normal cognition. This tool is designed for medical professionals involved in the diagnosis and staging of neurological conditions.
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Use this if you are a neurologist or radiologist looking for an automated preliminary assessment tool to aid in the early detection and classification of Alzheimer's disease from brain MRI scans.
Not ideal if you are looking for a standalone diagnostic tool that replaces clinical judgment or if you are not working with brain MRI data.
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Aug 06, 2023
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