arXiv preprint 2026
This study highlights the value of integrating anatomically similar but distribution shifted datasets to overcome data scarcity and enhance deep learning based segmentation for brachytherapy treatment planning.
@article{das2026bridging,
title={Bridging the Applicator Gap with Data-Doping: Dual-Domain Learning for Precise Bladder Segmentation in CT-Guided Brachytherapy},
author={Das, S and Manna, S and Ghosh, S},
journal={arXiv preprint arXiv:2601.20302},
year={2026},
url={https://sadimanna.github.io/papers/datadoping/}
}