Jiahao Cheng commited on
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1 Parent(s): 5fc652d

docs: simplify model card header

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  1. README.md +0 -1
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@@ -56,7 +56,6 @@ model-index:
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  [![Paper](https://img.shields.io/badge/Paper-arXiv-b31b1b.svg)](https://arxiv.org/abs/2605.30716)
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  [![Code](https://img.shields.io/badge/Code-GitHub-181717.svg)](https://github.com/AtlasAnalyticsLab/PathoSynVLM)
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  [![Project Page](https://img.shields.io/badge/Project-Page-0e8a9c.svg)](https://atlasanalyticslab.github.io/PathoSynVLM/)
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- [![Training Data](https://img.shields.io/badge/Training_Data-HISTAI-ffd21e.svg)](https://huggingface.co/datasets/histai/HISTAI-metadata)
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  PathoSynVLM is a token-efficient vision-language model for generating
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  case-level pathology synoptic reports from one or more whole-slide
 
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  [![Paper](https://img.shields.io/badge/Paper-arXiv-b31b1b.svg)](https://arxiv.org/abs/2605.30716)
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  [![Code](https://img.shields.io/badge/Code-GitHub-181717.svg)](https://github.com/AtlasAnalyticsLab/PathoSynVLM)
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  [![Project Page](https://img.shields.io/badge/Project-Page-0e8a9c.svg)](https://atlasanalyticslab.github.io/PathoSynVLM/)
 
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  PathoSynVLM is a token-efficient vision-language model for generating
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  case-level pathology synoptic reports from one or more whole-slide