EXAONE Path 2.0
LG AI ResearchCancer diagnosisImage classificationMedical diagnosisOpen weights
The EXAONE Path 2.0 model is an open-weights cancer diagnosis model from LG AI Research with 175000000.0 parameters.
About EXAONE Path 2.0
In digital pathology, whole-slide images (WSIs) are often difficult to handle due to their gigapixel scale, so most approaches train patch encoders via self-supervised learning (SSL) and then aggregate the patch-level embeddings via multiple instance
Details
- Provider
- LG AI Research
- Task
- Cancer diagnosis,Image classification,Medical diagnosis
- Parameters
- 175000000.0
- Released
- 2025-07-09
- Open weights
- Yes