singhvaibhav924 / Brain-Tumor-Detection-CNN

CNN model for classifying different types of Brain Tumor trained using Fine-Tuning EffecientNetV2B1 model pretrained on Imagenet dataset

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Brain-Tumor-Detection-CNN

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

Training Metrics

Accuracy Plot
Loss Plot
Confusion Matrix

Run Locally

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

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CNN model for classifying different types of Brain Tumor trained using Fine-Tuning EffecientNetV2B1 model pretrained on Imagenet dataset


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