Brain Tumour Image Segmentation CNN

Feb. 2025

Synopsis¶

Developed and trained a CNN following the U-Net architecture implemented in Python using PyTorch. It performs image segmentation for identification of edema, non-enhancing tumors and enhancing tumors.

Skills¶

Below are the skills and experiences gained from this project:

Competencies with Python
Competencies using PyTorch and Numpy
Knowledge of CV concepts and principles

References¶

Ronneberger, O., Fischer, P., & Brox, T. (2015). U-Net: Convolutional Networks for Biomedical Image Segmentation. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 (pp. 234–241). Springer International Publishing. 10.1007/978-3-319-24574-4_28