CNN model for classifying different types of Brain Tumor trained using Fine-Tuning EffecientNetV2B1 model pretrained on Imagenet dataset.
The model has achieved the accuracy of 99.91% on Training set.
On Testing set the model shows and accuracy of 98.86% with a loss value of 0.107
Clone the project
git clone https://github.com/singhvaibhav924/Brain-Tumor-Detection-CNN.git
Go to the project directory
cd Brain-Tumor-Detection-CNN
Setup Virtual Environment
pip install virtualenv
virtualenv venv
venv/Scripts/Activate.ps1
Install dependencies
pip install numpy pandas matplotlib seaborn scikit-learn tensorflow