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.
☆376Sep 20, 2023Updated 2 years ago
Alternatives and similar repositories for plip
Users that are interested in plip are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Vision-Language Pathology Foundation Model - Nature Medicine☆493Mar 26, 2025Updated last year
- Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023☆119Jun 19, 2023Updated 2 years ago
- [NeurIPS 2023 Oral] Quilt-1M: One Million Image-Text Pairs for Histopathology.☆183Jan 18, 2024Updated 2 years ago
- Pathology Foundation Model - Nature Medicine☆718Mar 26, 2025Updated last year
- Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data☆600May 16, 2025Updated 11 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Multimodal Whole Slide Foundation Model for Pathology☆335Dec 13, 2025Updated 4 months ago
- Open source tools for computational pathology - Nature BME☆1,665Apr 14, 2025Updated last year
- Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)☆618Mar 19, 2024Updated 2 years ago
- Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024☆147Feb 22, 2025Updated last year
- ☆132Apr 11, 2024Updated 2 years ago
- DAS-MIL: Distilling Across Scales for MILClassification of Histological WSIs☆65Nov 29, 2024Updated last year
- [CVPR 2024] Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology☆135Sep 19, 2025Updated 7 months ago
- [ECCV 2024] Official Implementation of 《WSI-VQA: Interpreting Whole Slide Image by Generative Question Answering》☆65Dec 18, 2024Updated last year
- Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., Med…☆169Jan 29, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆81May 18, 2025Updated 11 months ago
- ☆355Mar 29, 2025Updated last year
- TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification☆480May 3, 2024Updated last year
- DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image☆464Apr 29, 2024Updated 2 years ago
- Ressources of histopathology datasets☆543Mar 6, 2026Updated last month
- Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024☆166Nov 19, 2024Updated last year
- Hibou: Foundational Models for Pathology☆77Oct 23, 2024Updated last year
- Codebase for Quilt-LLaVA☆85Jun 28, 2024Updated last year
- [ICCV'23] ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image A…☆15Oct 6, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- [ECCV 2024 Oral] Knowledge-enhanced pretraining for computational pathology☆49Apr 17, 2026Updated 2 weeks ago
- Toolkit for large-scale whole-slide image processing.☆541Apr 21, 2026Updated last week
- Feather - Lightweight supervised slide foundation models (ICML 2025)☆146Feb 5, 2026Updated 2 months ago
- Histopathology Feature Extractors (2024)☆14Jun 14, 2024Updated last year
- ☆87May 13, 2025Updated 11 months ago
- Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets☆97May 23, 2023Updated 2 years ago
- List of pathology feature extractors and foundation models☆187Feb 15, 2026Updated 2 months ago
- CellViT: Vision Transformers for Precise Cell Segmentation and Classification☆375Jul 23, 2025Updated 9 months ago
- [CVPR'23] Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning☆97Aug 25, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆230Oct 26, 2025Updated 6 months ago
- [NeurIPS'24] Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement - NeurIPS 2…☆15Nov 19, 2024Updated last year
- Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024☆113Oct 15, 2024Updated last year
- [ICCV 2023 Oral, IJCV 2025] Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification☆95Jan 7, 2026Updated 3 months ago
- Clinical Histopathology Imaging Evaluation Foundation Model☆706Jan 8, 2026Updated 3 months ago
- [NeurIPS 2023] The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image…☆40May 14, 2024Updated last year
- [NeurIPS'22] Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning☆179May 16, 2024Updated last year