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@@ -12,12 +12,12 @@ This model is used for high and low classification of survival period and diseas
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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 complete 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 verification 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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  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.