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PET2Rep

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PET2Rep

📖 arXiv | 🎈 GitHub | 🤗 HuggingFace

Overview

PET2Rep is the first benchmark dataset designed for the evaluation of VLMs in the context of Positron Emission Tomography (PET) radiology report generation. This dataset comprises 565 whole-body PET/CT image-report pairs. It offers extensive coverage of dozens of organs with corresponding metabolic information, which is crucial for reflecting the real-world clinical comprehensiveness of PET imaging in oncologic diagnostics.

The primary motivation behind the creation of PET2Rep is to facilitate the development and standardized evaluation of automated systems for generating clinically accurate and relevant radiology reports from PET/CT scans, thereby addressing a significant gap in current medical imaging datasets.

Data Fields

The dataset contains the following fields:

image_data: Whole-body PET/CT scan images in JPEG format.

The structure of JPEG file: subject_<subject id>_<slice>_coronal.jpg
general_prompt: A prompt file consists of key-value pairs for the radiology report and other supplementary information in JSON Lines format.

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