Text to Image- UltraGAN
This project implements a method to automatically generate ultrasound images from Chinese ultrasound reports. The implementation idea of UltraGAN is as follows.
使用方法:
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To making your own dataset
cd data_preprocessing python making_dataset.py
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To train the UltraGen
python main.py
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To evaluate the model
python predict.py
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To change config of the network
You can change the config of the network in config.py
Datasets
Due to the concerns of patient privacy in the design of the dataset, it cannot be open sourced. You can use other report image datasets instead, such as IUXray. You can download the images' file through https://openi.nlm.nih.gov/.
Resources
cudatoolkit=11.1.1
python=3.8.11
pytorch=1.9.0=py3.8_cuda11.1_cudnn8_0
scikit-learn=0.23.2
scipy=1.6.2
seaborn=0.11.2
yacs=0.1.8
yaml=0.2.5
some experimental results
You can download the result from here
Acknowledgments
The implementation of Self-guided Framework is mainly based on XRayGAN. We thanks the authors for their efforts.