Image-Text-to-Text
English
conversational

Med-2E3-M3D

Introduction

A 3D medical LVLM, Med-2E3, trained on 3D CT volumes and English medical texts (M3D-Cap & M3D-VQA), enabling tasks such as report generation and medical VQA.

Config
3D Image encoder GoodBaiBai88/M3D-CLIP
2D Image encoder google/siglip-large-patch16-256
Connector TG-IS scoring module
LLM Qwen/Qwen2.5-3B-Instruct
Image resolution 32*256*256
Sequence length 768

Quickstart

Please refer to Med-2E3.

Citation

@article{shi2024med,
  title={Med-2e3: A 2d-enhanced 3d medical multimodal large language model},
  author={Shi, Yiming and Zhu, Xun and Wang, Kaiwen and Hu, Ying and Guo, Chenyi and Li, Miao and Wu, Ji},
  journal={arXiv preprint arXiv:2411.12783},
  year={2024}
}
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