This is the repository that contains source code for the 3UResNet project website.
Project Page: https://setu1999.github.io/3UResNet.github.io/
3UResNet is a unified explainable framework for the Segmentation and Classification of Liver Cirrhosis on T2-Weighted MRI using Deep Learning. This repository hosts the project website and supplementary materials.
If you find this work useful, please cite our paper:
@article{setu2025explainable,
author = {Setu, Deblina Mazumder and Dey, Samrat Kumar and Islam, Tania and Howlader, Arpita and Biswas, Saurov Chandra and Mazumder, Rashed and Siddiqi, Umme Raihan and Rahman, Md. Mahbubur},
title = {Multiclass Liver Cirrhosis Segmentation and Severity Staging on T2-Weighted MRI Using 3UResNet Explainability and Per-Class Deep Expert Classifiers},
journal = {arXiv preprint},
year = {2025},
}