Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale Dataset
Paper
β’ 2511.15186 β’ Published
β’ 26
ROSALIA is a vision-language model (VLM) designed for precise lesion segmentation in chest X-rays (CXRs).
This model is the core checkpoint of the paper:
Instruction-Guided Lesion Segmentation for Chest X-rays with an Automatically Generated Large-Scale Dataset, accepted to CVPR 2026.
If you find this model or the related research useful, please cite our work:
@article{choi2025instruction,
title={Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale Dataset},
author={Choi, Geon and Yoon, Hangyul and Shin, Hyunju and Park, Hyunki and Seo, Sang Hoon and Yang, Eunho and Choi, Edward},
journal={arXiv preprint arXiv:2511.15186},
year={2025}
}
Base model
xinlai/LISA-7B-v1