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Tongue Size and Shape Classification Fusing Segmentation Features for Traditional Chinese Medicine Diagnosis

by Yating Huang+, Xuechen Li+, Siting Zheng, Zhonglian Li, Sihan Li, Linlin Shen, Changen Zhou, Zhihui Lai.(+ indicates equal contribution)

Summary:

Intoduction:

This repository is for our paper"Tongue Size and Shape Classification Fusing Segmentation Features for Traditional Chinese Medicine Diagnosis"

Framework:

Usage:

Requirement:

Ubuntu 16.04+pycharm+python3.6+pytorch1.7.1

Preprocessing:

Clone the repository:

git clone https://github.com/Yating-Huang/TSC-WNet.git
cd TSC-WNet

How to run:

The only thing you should do is enter the data/image.txt and correct the path of the datasets. then run ~ example:

python kfold_class.py 

best_model folder:

After training, the saved model is in this folder.

the datasets:

the public Tongue dataset link:https://github.com/BioHit/TongeImageDataset

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