Brain Tumor Detection

Language: Python
Libraries: NumPy, Plotly, Matplotlib, Sklearn, Keras, TensorFlow
Platform: Jupyter Notebook

Brain Tumor Detection

Purpose

Detects brain tumors from a given brain MRI image using appropriate image processing techniques and machine learning algorithms. We train the model with positive and negative test MRI images of the brain, evaluate the model in order to ready itself to rightly classify a new MRI image.

Models

ResNet50V2

VGG-16

Tasks Done

Image Distribution

Train Test Split

Image thresholding & Contouring

Data Augmentation

Model Training

Model Evaluation

Dataset

98 images labelled as ’NO’

155 images labelled as ’YES’.

The images used are in .JPG/.JPEG format.

Applications

Medical Imaging Systems - Much deep layered networks can be trained to identify the complexities of the tumor and can be used in hospitals and diagnostic centers.