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README.md
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Use the code ```inference.py``` to get started with the model.
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## Evaluation
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In `inference.py`, modify the model path and dataset path to
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The model outputs the classification accuracy on two categories.
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#### Data
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The inputs of the model are the pathological image features and pathological text features extracted based on PLIP [[A visual–language foundation model for pathology image analysis using medical Twitter]](https://huggingface.co/vinid/plip).
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You can organize your own dataset for
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### Results
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This [links]() shows some visualized results corresponding to pathological images and text inputs.
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Use the code ```inference.py``` to get started with the model.
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## Evaluation
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+
In `inference.py`, modify the model path and dataset path to do the model evaluation.
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The model outputs the classification accuracy on two categories.
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#### Data
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The inputs of the model are the pathological image features and pathological text features extracted based on PLIP [[A visual–language foundation model for pathology image analysis using medical Twitter]](https://huggingface.co/vinid/plip).
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You can organize your own dataset for evaluation according to this method.
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### Results
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This [links]() shows some visualized results corresponding to pathological images and text inputs.
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