This repo is for the 3rd homework of our medical image analysis course at Koc University, term spring 2025. It is a simplified implementation of UNET segmentation architecture with decreased image and channel sizes. Hope it will be helpful for you to understand this fundamental segmentation model's basics. There is a more detailed report for the questions as well.
@misc{ronneberger2015unetconvolutionalnetworksbiomedical,
title={U-Net: Convolutional Networks for Biomedical Image Segmentation},
author={Olaf Ronneberger and Philipp Fischer and Thomas Brox},
year={2015},
eprint={1505.04597},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/1505.04597},
}