PLIP
Vision-language foundation model for pathology trained with contrastive learning on pathology image–text pairs for image classification and text-to-image retrieval.
- from
- Computational Biology
- added
- 2026-10-10
- likes
- 0
similar
-
CONCH github.com
Vision-language foundation model for computational pathology trained with contrastive captioning on pathology image–text pairs.
-
BiomedCLIP huggingface.co
CLIP-based vision-language foundation model for biomedical images and text trained on PubMed figure–caption pairs.
-
FastPathology github.com
Open-source software for deep learning-based digital pathology.
-
PathML github.com
An open-source toolkit for computational pathology and machine learning.
-
MUSK github.com
Vision-language foundation model for precision oncology analyzing multimodal paired text and pathology image data for biomarker prediction and retrieval.
-
Phikon huggingface.co
ViT-based pathology foundation model pretrained with iBOT self-supervision on TCGA whole-slide images.
Computational Biology › Machine Learning Tasks and Models > Foundation Models > Multi-Modal Foundation Models: “Vision-language foundation model for pathology trained with contrastive learning on pathology image–text pairs for image classification and text-to-image retrieval.”