| | --- |
| | language: en |
| | tags: |
| | - summarization |
| | - medical |
| | library_name: transformers |
| | pipeline_tag: summarization |
| | --- |
| | |
| | # Automatic Personalized Impression Generation for PET Reports Using Large Language Models 📄✍ |
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| | **Authored by**: Xin Tie, Muheon Shin, Ali Pirasteh, Nevein Ibrahim, Zachary Huemann, Sharon M. Castellino, Kara Kelly, John Garrett, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw |
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| | [Read the full paper]() |
| | <!-- Link to our Arxiv paper --> |
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| | ## 📑 Model Description |
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| | This is the domain-adapted T5Score for evaluating the quality of PET impressions. |
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| | To check our domain-adapted text-generation-based evaluation metrics: |
| | - [BARTScore+PET](https://huggingface.co/xtie/BARTScore-PET) |
| | - [PEGASUSScore+PET](https://huggingface.co/xtie/PEGASUSScore-PET) |
| | - [T5+PET](https://huggingface.co/xtie/T5Score-PET) |
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| | ## 📁 Additional Resources |
| | - **Codebase for evaluation metrics:** [GitHub](https://github.com/xtie97/PET-Report-Summarization/tree/main/evaluation_metrics) |
| | --- |
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