PathologyFoundation/plip
plip
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.
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PathologyFoundation
PathologyFoundation • individual
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Created
Feb 15, 2023
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README Summary
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI. 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.
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CLIP ArchitectureContrastive LearningDomain AdaptationFeature ExtractionFoundation Model Fine-tuningMedical Image AnalysisMulti-modal EmbeddingsPathology AIVision-Language Models
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CLIP ArchitectureContrastive LearningDomain AdaptationFeature ExtractionFoundation Model Fine-tuningMedical Image AnalysisMulti-modal EmbeddingsPathology AIVision-Language ModelsEmbeddingsForkedHealthcare AIHuggingFaceNumPyPythonTransformers
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Updated 2 years ago
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research- Quality
- high
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- research
Categories
RAG & RetrievalPrimaryIndustry: HealthcareData Science & AnalyticsFoundation ModelsHealthcare & BiologyOther AI / ML
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Python100.0%
Timeline
- Project created
- Feb 15, 2023
- Forked
- Mar 23, 2026
- Your last push
- 2 years ago
- Upstream last push
- 2 years ago
- Tracked since
- Sep 20, 2023
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