File size: 1,814 Bytes
746d4e8 8b24975 975a172 746d4e8 975a172 746d4e8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | # PA-LLaVA-plus
This is the first-stage weights trained on the 400w pathological image-text dataset using the PA-LLaVA model structure. The link is https://huggingface.co/OpenFace-CQUPT/PA-LLaVA-plus.
## 400w Dataset
The 400w pathology dataset is derived from the publicly available "Accessible Dataset (18M samples)" from MedTrinity-25M([UCSC-VLAA/MedTrinity-25M · Datasets at Hugging Face](https://huggingface.co/datasets/UCSC-VLAA/MedTrinity-25M)). This is a dataset spanning multiple medical fields. By analyzing the linguistic structure of the text in this dataset, we extracted a 400w dataset specific to the pathology domain.
## Citation
```
@INPROCEEDINGS{10821785,
author={Dai, Dawei and Zhang, Yuanhui and Xu, Long and Yang, Qianlan and Shen, Xiaojing and Xia, Shuyin and Wang, Guoyin},
booktitle={2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
title={PA-LLaVA: A Large Language-Vision Assistant for Human Pathology Image Understanding},
year={2024},
volume={},
number={},
pages={3138-3143},
keywords={Connectors;Pathology;Visualization;Codes;Computational modeling;Biological system modeling;Data models;Cleaning;Bioinformatics;Biomedical imaging;Pathology Image Understanding;VQA;LLaVA},
doi={10.1109/BIBM62325.2024.10821785}}
@article{dai2025pathologyvlm,
title={Pathologyvlm: a large vision-language model for pathology image understanding},
author={Dai, Dawei and Zhang, Yuanhui and Yang, Qianlan and Xu, Long and Shen, Xiaojing and Xia, Shuyin and Wang, Guoyin},
journal={Artificial Intelligence Review},
volume={58},
number={6},
pages={1--19},
year={2025},
publisher={Springer}
}
```
---
license: cc
---
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