srajan-kiyotaka/Alzheimer-Disease-Prediction
I will use the CT Scan of the brain image dataset to train the CNN Model to predict the Alzheimer Disease.
This tool helps medical professionals quickly identify potential Alzheimer's disease by analyzing CT scans of a patient's brain. You input a CT scan image, and it classifies the scan into one of several Alzheimer's disease stages or as cognitively normal. It's designed for radiologists, neurologists, and other clinicians involved in neurological diagnostics.
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Use this if you need an automated, high-accuracy preliminary classification of Alzheimer's disease stages from brain CT scans to assist in diagnosis.
Not ideal if you require a definitive diagnosis without human expert review, as this is an assistive tool, not a replacement for clinical judgment.
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15
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3
Language
Jupyter Notebook
License
MIT
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Last pushed
Jul 18, 2022
Commits (30d)
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