Brain-Tumor-Detection

Table of contents

• Introduction

• Dataset

• Framework

• Steps

• Output

Introduction

A deep learning based model is developed to detect brain tumor from MRI images. Transfer learning technique has been used for detection.

Dataset

Original dataset used in this project has been collected from Kaggle which contains 253 MRI images of the brain.

Framework

This code is based on Keras, which requires Tensorflow as the backend.

Steps

Steps needed to complete the whole task are as follows:

1. Data Collection
2. Image Augmentation
3. Data Preprocessing
4. Data Normalization
5. Set up Pre-Trained VGG19 Model
6. Train and Validate
7. Performance Evaluation

Output

Following image shows 10 random test images, their predicted labels and ground truth.