Brain Tumor Classification

Dataset

Here I have used a publicly available dataset on Kaggle and used several classification algorithms to classify the tumor.
There are 4 classes in the dataset:

1. Glioma Tumor
2. Meningioma Tumor
3. Pituitary Tumor
4. No Tumor

Frameworks

• PyTorch

Models

I use the following models to classify Brain Tumor:

• AlexNet
• MobileNetV2
• VGG16

Saved Models

I have saved the best performing model in the Saved Models folder.

Results

• Single Inference has been done the separate notebook Inference.ipynb on the test_loader dataset which has not been used to train the models.
• Inference outputs are saved in the Inference Images folder.
• Training Results folder contains the training results of the models during training for example, training loss, validation loss, training accuracy, validation accuracy, etc.

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