Ecosyste.ms: Awesome

https://github.com/recker-dev/alzheimer-cnn-tinyvgg16

This project uses a TinyVGG16-based CNN to classify MRI scans for Alzheimer's Disease stages: Mild Impairment, Moderate Impairment, No Impairment, and Very Mild Impairment. It includes Jupyter notebooks for training and prediction, and a Streamlit app for easy inference. The model achieves high metrics in predicting Alzheimer's stages.

ai ai-in-healthcare alzeheimers cnn-classification deep-learning image-classification kaggle-dataset medical-imaging mri-images neuroimaging pytorch pytorch-cnn-classification streamlit streamlit-webapp tinyvgg

Last synced: 05 Dec 2024