🚨 Project Discontinued

This project is no longer maintained. Please visit our new and upgraded project SuperCCM 👉 https://github.com/qlnfm/SuperCCM

❓ What is SuperCCM?

SuperCCM is an open-source Python framework for analyzing corneal nerve images obtained from Corneal Confocal Microscopy (CCM).

🔗 How is SuperCCM related to this project?

SuperCCM fully covers all the functionalities of this project while being faster, more accurate, and more feature-rich. You can think of SuperCCM as the next-generation upgrade of this project.

🛠️ Why create a new SuperCCM project instead of updating this one?

As we developed more and more components, we wanted a unified software package to integrate them, rather than scattering them across multiple repositories. SuperCCM was created to achieve this goal.

AiCCMetrics: Next-generation Neural Fiber Morphology Quantification Tool

AiCCMetrics is an open-source project designed to quantification neural fiber morphology. It is licensed under the GNU General Public License v3.0 (GPL-3.0).

• More efficient
• More accurate
• Open source

Qiao Q, Cao J, Xue W, et al. Deep learning-based automated tool for diagnosing diabetic peripheral neuropathy. DIGITAL HEALTH. 2024;10. doi:10.1177/20552076241307573

To use this project, follow these steps:

1. Environmental preparation

conda create -n qccm python=3.8
conda activate aiccm
pip install -r requirements.txt

2. Example

from process.processor import Processor
from utils.calculate import get_CNFL, get_CNFD, get_CNBD
from utils.common import show_image, save_image
from process.draw import draw_result_image


test_image_path = './assets/test.jpg'
segmenter_model_path = './models/nerve.onnx'
result_image_path = './assets/result.png'

p = Processor()
p.set_model_path(segmenter_model_path)
p.load_model()
p.load_image(test_image_path)
p.process()
print(f'CNFL: {get_CNFL(p)}\nCNFD: {get_CNFD(p)}\nCNBD: {get_CNBD(p)}')