MRI Brain Scan Classification Using FastSurfer, XGBoost and 3D CNNs
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Overview
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Learn two powerful machine learning approaches for classifying MRI brain scan data in this technical conference tutorial from Data Science Conference Europe 2023. Explore the FastSurfer pipeline for extracting tabular volumetric data and implementing XGBoost classification, followed by hands-on guidance for image classification using 3D Convolutional Neural Networks (CNNs). Master essential preprocessing techniques including skull stripping, scan registration, and intensity normalization through FastSurfer. Build a simple 3D CNN network in PyTorch while gaining practical insights into both tabular volumetric data classification and image classification methods specifically designed for medical data analysis.
Syllabus
MRI Brain Scan Classification Guide | FastSurfer, XGBoost, 3D CNNs | D. Polak | DSC Europe 23
Taught by
Data Science Conference