EXAONEPath
We introduce EXAONEPath, a patch-level pathology pretrained model with 86 million parameters. The model was pretrained on 285,153,903 patches extracted from a total of 34,795 WSIs. EXAONEPath demonstrates superior performance considering the number of WSIs used and the model's parameter count.
Tensorflow
Classification
Healthcare
EXAONEPath AI Model License Agreement 1.0 - NC
HuggingFace Model Link
Model Information
Current Version
1.0.0
Modality
Not specified
Anatomy Target
Not specified
Authors
shr3m, LG AI Research
Model Access
Runtime and I/O Specs
NVIDIA GPU is required Minimum 8GB GPU memory recommended NVIDIA driver version >= 450.80.02 required
Research and Citation
BibTeX
@article{yun2024exaonepath,
title={EXAONEPath 1.0 Patch-level Foundation Model for Pathology},
author={Yun, Juseung and Hu, Yi and Kim, Jinhyung and Jang, Jongseong and Lee, Soonyoung},
journal={arXiv preprint arXiv:2408.00380},
year={2024}
}