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MSc Data Science project 2022-23 | University of Glasgow

Brain Tumor Segmentation using low computing resources

By Rishikesh Pandey

Sumary

We will use MICCAI's Brain tumor segmentation dataset for this project, this data was provided by Synapse.org for FeTS challenge. The goal here is to prepare a model that can train and predict brain tumors on low computing resources. The dataset had around 8000 scans with each subject containing 4 scans and a mask. We will first preprocess our data to simply input and reduce computation.


We will be using pytorch for our model implementation which will be a 3D Unet model made from scratch using pytorch's neural network library. This model needs to be efficient enough to run in google colab where it was created and tested.