Total runs:
675.1K
Run Growth:
61.6K
Growth Rate:
9.12%
Sponsored by
Vmake Labs Video Enhancer
LGAI-EXAONE / EXAONEPath-CRC-MSI-Predictor
Model's Last Updated: February 18 2025
Introduction of EXAONEPath-CRC-MSI-Predictor
Model Details of EXAONEPath-CRC-MSI-Predictor
Description
MSI classification of CRC tumors using EXAONEPath 1.0.0 - a patch-level foundation model for pathology
Model Overview
This model serves as a reference for predicting MSI status using CRC (colorectal cancer) tumor images as input. When the model receives an H&E-stained whole slide image as input, it removes artifacts observed in the image and extracts only tissue-related objects. These objects are then reconstructed into a set of tiles with a size of 256 by 256 pixels at an mpp (micron per pixel) of 0.5.
The tiles pass through the EXAONEPath v1.0 patch-level foundation model ( https://huggingface.co/LGAI-EXAONE/EXAONEPath ), which converts them into a set of features. These features are then integrated into a slide-level feature representation through an aggregator. Finally, a linear classifier predicts the MSI status (MSS or MSI-H/L).
The model achieves an average performance of AUROC 0.93 on TCGA-COAD + TCGA-READ data and 0.84 on in-house data.
This open-source release aims to demonstrate that the combination of EXAONEPath and the aggregator can effectively perform pathological tasks. It is hoped that this source code will serve as an important reference not only for CRC MSI prediction but also as an image-based solution for various disease-related problems, including molecular subtyping, tumor subtyping, and mutation prediction.
This open-source code is designed to be compatible with the MONAI framework ( https://monai.io/ ), and users must check the accompanying license before use.
Input and Output Formats
The input is a
.svs
file containing whole slide image.
The output is an array with probabilities for each of the two classes (MSS / MSI(H/L)).
Setup
pip install -r requirements.txt
Execute Inference
The inference can be executed as follows
-
Copy your
.svsfiles intosamplesdirectory -
Run inference
python -m monai.bundle run inference --meta_file configs/metadata.json --config_file configs/inference.yaml
Contact
LG AI Research Technical Support: [email protected]
License
Copyright (c) LG AI Research
The model is licensed under EXAONEPath AI Model License Agreement 1.0 - NC .
Runs of LGAI-EXAONE EXAONEPath-CRC-MSI-Predictor on huggingface.co
0
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
More Information About EXAONEPath-CRC-MSI-Predictor huggingface.co Model
Url of EXAONEPath-CRC-MSI-Predictor
EXAONEPath-CRC-MSI-Predictor huggingface.co Url
Provider of EXAONEPath-CRC-MSI-Predictor huggingface.co
Other API from LGAI-EXAONE
Updated:February 06 2026
Total runs:
244.1K
Run Growth:
-151.5K
Growth Rate:
-62.06%
Total runs:
92.4K
Run Growth:
52.5K
Growth Rate:
56.84%
Total runs:
51.8K
Run Growth:
-6.0K
Growth Rate:
-11.58%
Total runs:
44.0K
Run Growth:
-8.2K
Growth Rate:
-18.68%
Total runs:
30.2K
Run Growth:
-5.3K
Growth Rate:
-17.42%
Total runs:
25.0K
Run Growth:
3.6K
Growth Rate:
14.26%
Total runs:
16.7K
Run Growth:
-9.6K
Growth Rate:
-57.32%
Total runs:
16.7K
Run Growth:
-14.9K
Growth Rate:
-89.16%
Total runs:
15.6K
Run Growth:
-2.0K
Growth Rate:
-13.13%
Total runs:
5.3K
Run Growth:
-11.1K
Growth Rate:
-209.77%
Total runs:
4.4K
Run Growth:
-1.1K
Growth Rate:
-26.37%
Total runs:
4.1K
Run Growth:
988
Growth Rate:
23.96%
Total runs:
4.0K
Run Growth:
-708
Growth Rate:
-17.82%
Total runs:
3.8K
Run Growth:
0
Growth Rate:
0.00%
Total runs:
3.7K
Run Growth:
1.1K
Growth Rate:
30.10%
Total runs:
3.6K
Run Growth:
2.5K
Growth Rate:
70.93%
Total runs:
3.5K
Run Growth:
-951
Growth Rate:
-27.39%
Total runs:
3.4K
Run Growth:
741
Growth Rate:
21.62%
Total runs:
2.9K
Run Growth:
-8.4K
Growth Rate:
-283.64%
Total runs:
2.7K
Run Growth:
-523
Growth Rate:
-19.60%
Total runs:
1.8K
Run Growth:
1.8K
Growth Rate:
100.00%
Total runs:
1.8K
Run Growth:
921
Growth Rate:
52.30%
Total runs:
1.6K
Run Growth:
551
Growth Rate:
35.46%
Total runs:
856
Run Growth:
-147
Growth Rate:
-17.17%
Total runs:
804
Run Growth:
-9.2K
Growth Rate:
-1142.41%
Total runs:
778
Run Growth:
302
Growth Rate:
38.82%
Total runs:
743
Run Growth:
119
Growth Rate:
16.02%
Total runs:
386
Run Growth:
-31
Growth Rate:
-8.03%
Total runs:
360
Run Growth:
-28
Growth Rate:
-7.78%
Total runs:
226
Run Growth:
-42
Growth Rate:
-18.58%
Total runs:
224
Run Growth:
39
Growth Rate:
17.41%
Total runs:
217
Run Growth:
-107
Growth Rate:
-49.31%
Total runs:
198
Run Growth:
23
Growth Rate:
11.62%
Total runs:
187
Run Growth:
15
Growth Rate:
8.02%
Total runs:
181
Run Growth:
-53
Growth Rate:
-29.28%
Total runs:
177
Run Growth:
-180
Growth Rate:
-101.69%
Total runs:
154
Run Growth:
-22
Growth Rate:
-14.29%
Total runs:
131
Run Growth:
36
Growth Rate:
27.48%
Total runs:
108
Run Growth:
41
Growth Rate:
37.96%
Total runs:
102
Run Growth:
33
Growth Rate:
32.35%
Total runs:
31
Run Growth:
-1
Growth Rate:
-3.23%
Total runs:
28
Run Growth:
-417
Growth Rate:
-1489.29%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%