PathologyFoundation / plipLinks
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
☆344Updated 2 years ago
Alternatives and similar repositories for plip
Users that are interested in plip are comparing it to the libraries listed below
Sorting:
- Vision-Language Pathology Foundation Model - Nature Medicine☆408Updated 5 months ago
- Multimodal Whole Slide Foundation Model for Pathology☆237Updated 6 months ago
- Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data☆528Updated 4 months ago
- Pathology Foundation Model - Nature Medicine☆550Updated 5 months ago
- Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023☆105Updated 2 years ago
- Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024☆147Updated 10 months ago
- ☆116Updated last year
- ☆200Updated 4 months ago
- CellViT: Vision Transformers for Precise Cell Segmentation and Classification☆319Updated last month
- [NeurIPS 2023 Oral] Quilt-1M: One Million Image-Text Pairs for Histopathology.☆168Updated last year
- Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024☆139Updated 6 months ago
- Toolkit for large-scale whole-slide image processing.☆364Updated last week
- Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., Med…☆158Updated last year
- Multimodal prototyping for cancer survival prediction - ICML 2024☆92Updated 6 months ago
- ☆329Updated 5 months ago
- Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021☆213Updated 3 years ago
- Official Inplementation of 《WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole Slide Images》(MICCAI 2024 O…☆71Updated 3 months ago
- Standardized benchmark for computational pathology foundation models.☆99Updated last month
- DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image☆438Updated last year
- Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)☆588Updated last year
- ☆78Updated 8 months ago
- The official implementation of GPFM☆89Updated 3 months ago
- TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification☆428Updated last year
- ☆114Updated last year
- A curated list of foundation models for vision and language tasks in medical imaging☆275Updated last year
- Ressources of histopathology datasets☆460Updated 2 months ago
- List of pathology feature extractors and foundation models☆151Updated 3 months ago
- ☆23Updated last year
- Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)☆140Updated 3 years ago
- [CVPR 2024] Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology☆124Updated 3 months ago