GitHub - Priyansh143/DementiaDetection: Deep learning project for MRI-based Alzheimer’s disease stage classification using EfficientNetV2B1. The study explores both categorical and ordinal classification approaches, incorporating preprocessing, data augmentation, and class imbalance handling to improve model generalization and stage differentiation in medical imaging datasets.

Name		Name	Last commit message	Last commit date
Dementia_detection_3.ipynb		Dementia_detection_3.ipynb
Picture1.jpg		Picture1.jpg
Picture2.png		Picture2.png
Picture3.jpg		Picture3.jpg
Untitled.png		Untitled.png
__results___91_1.png		__results___91_1.png
advance.png		advance.png
imbalance.png		imbalance.png
mild.png		mild.png
nondemented.png		nondemented.png
ordinal2.png		ordinal2.png
ordinal_.png		ordinal_.png
ordinal_conf.png		ordinal_conf.png
regular1.png		regular1.png
regular2.png		regular2.png
regular3.png		regular3.png
ultra.png		ultra.png

About

Deep learning project for MRI-based Alzheimer’s disease stage classification using EfficientNetV2B1. The study explores both categorical and ordinal classification approaches, incorporating preprocessing, data augmentation, and class imbalance handling to improve model generalization and stage differentiation in medical imaging datasets.

alzheimers-detection cnn deep-learning efficientnet healthcare-ai image-classification medical-ai medical-imaging tensorflow

Activity

0 stars

0 watching

0 forks

Report repository