/Medical_Imaging

CNNs and ML regression methods for 3D brain MRI segmentation and patient age regression

Primary LanguageJupyter Notebook

This repository contains the Machine Learning for Imaging coursework from the Department of Computing, Imperial College London, Academic Year 2019-2020, delivered by Dr Ben Glocker and Professor Daniel Rueckert. The coursework was developed with their PhD students.

This coursework and git repo is my joint work with Alvaro Prat.

Highlights:

  • Designed 3D Residual CNNs and classical ML regression methods for 3D brain MRI segmentation and patient age regression.
  • Developed a statistical up-sampling methodology to balance the input data distribution.

Please find the coursework description in the specs.pdf file, the developed solution in Brain-Age-Regression.ipynb and the final report in report.pdf.