Hifuku, meaning 'sural' or 'saphenous' in Japanese, is an open-source machine learning-based software designed for Whole slide Morphometric Analysis in human sural nerve biopsies.

Clone the Hifuku GitHub repository:

git clone https://github.com/onnonuro/hifuku.git

Google Colab is the easiest way to try out Hifuku with GPU support, especially for clinicians and pathologists who are unfamiliar with programming or do not have a local Python environment.

To get started:

1. Download tutoial.ipynb: Download tutoial.ipynb.

2. Upload tutoial.ipynb to your Google Drive: Upload the file to your Google Drive.

3. Open tutoial.ipynb with Google Colab: Sign in Google Colab and open tutoial.ipynb with it.

4. Run Hifuku: Follow the instructions in the Jupyter Notebook tutorial.

   *You need a google account and sign in to Google colab.

Hifuku was tested in the following Google Clolab environment on November 21, 2023.

Python (3.10.12), torch (2.1.0+cu118), torchvision (0.16.0+cu118), torchmetrics (1.2.0), pytorch-lightning (2.1.2), segmentation-models-pytorch (0.3.3), timm (0.9.2), opencv-python (4.8.0.76), albumentations (1.3.1)

Ono D et al. Automated Whole slide morphometrics of sural nerve biopsy using machine learning Neuropathol Appl Neurobiol. 2024;50:e12967. doi:10.1111/nan.12967