harishdeepak / alzheimer-detection-using-resnet50-and-inceptionv3

Alzheimer Detection using ResNet50 and InceptionV3

Overview

This project focuses on detecting Alzheimer's disease using two powerful convolutional neural networks: ResNet50 and InceptionV3. These models are pretrained on the ImageNet dataset and are fine-tuned to classify MRI images for Alzheimer detection.

Features

• Utilizes ResNet50 and InceptionV3 architectures for Alzheimer detection.
• Includes scripts for preprocessing MRI images and evaluating model performance.
• Implements transfer learning to adapt the pretrained models to the Alzheimer's MRI dataset.

Performance

The project compares the performance of the two models, with InceptionV3 achieving the highest test accuracy of 91.43%.