toufiqmusah/Introduction-to-TorchIO

In this tutorial, we will cover the basics of using TorchIO by loading and viewing some MRIs and applying various transformations. We will use single-channel T2-FLAIR NIfTI samples from the ASNR-RSNA-MICCAI Africa Dataset of Brain MRI with tumors. This tutorial can be followed in a script, or notebook of sort (Colab, Jupyter, etc). --- # Introduction to TorchIO This repository contains a tutorial on using **TorchIO** for medical image processing. - Loading and visualizing MRI scans - Applying various transformations ### Dataset We use **NIfTI MRI and Segmentation Label** samples from the **ASNR-RSNA-MICCAI Africa Dataset of Brain MRI with tumors**. ### Running the Tutorial You can follow along with the tutorial by running the provided Notebook ### References [1] TorchIO [2] The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa) ---