This repository supports the paper "Assessing Clinical Efficacy of Polyp Detection Models Using Open-Access Datasets." It includes scripts for downloading, formatting, and preparing five open-access datasets, along with tools for generating ROC curves, event-based metrics, and FROC plots.
- dataset_downloads: Scripts to download, format, and prepare datasets.
- metrics: Scripts for generating per-box and per-frame ROC, event-based metrics, and FROC plots.
Each directory includes a README with specific usage instructions.
Clone the repository and follow these steps to set up the necessary environment:
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Install Python: Ensure that Python 3.8 or later is installed on your system.
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Set up a virtual environment (optional but recommended):
python -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate`
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Install dependencies using requirements file
pip install -r requirements.txt`
If you find this repository useful in your research, please consider citing our work:
Gabriel Marchese Aizenman, Pietro Salvagnini, Andrea Cherubini, and Carlo Biffi, "Assessing Clinical Efficacy of Polyp Detection Models Using Open-Access Datasets".
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