superccm 0.2.2

An Open-Source Python Toolkit for Automated Quantification of Corneal Nerve Fibers in Confocal Microscopy Images

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🚀 Introduction

✨️SuperCCM is an open-source Python framework for processing and analyzing corneal nerve images from corneal confocal microscopy (CCM). By inputting a CCM corneal nerve image, SuperCCM can automatically process the image and output various commonly used morphological parameters in clinical practice.

🏠Github: https://github.com/qlnfm/SuperCCM

❇️ Environmental Preparation

conda create -n superccm python=3.10 -y
conda activate superccm
pip install -r requirements.txt

• Install from PyPI

pip install superccm

🌟 Using online

https://huggingface.co/spaces/jugking6688/SuperCCM

⚡ Quickly Start

from superccm import SuperCCM

ccm = SuperCCM()
metrics = ccm.run('your/img/path')
print(metrics)

• Just a few lines of commands are needed.

📖 Document Tutorial

• ✨️ Advanced Tutorial: Gain a thorough understanding of the use of SuperCCM
• ✨️ Module writing: Learn how to customize the workflow and integrate your developed algorithms into SuperCCM

📄 License

This project follows the GPL v3 open source license.

🎓 Academic Citation

coming soon ...