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3UResNet: Liver Cirrhosis Analysis

This is the repository that contains source code for the 3UResNet project website.

Project Page: https://setu1999.github.io/3UResNet.github.io/

Abstract

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.

Citation

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},
}