Awesome

Feel free to use the storage above.

'https://drive.google.com/drive/folders/1-MtsqpOnuprBZ2TinTHwOugfA7r8uDQ1?usp=sharing'

At this google drive directory, there are not only our model weight but also tempurature normal brain slices for a single subject.

We stronly recomment to explore our jupyter notebook file (./inference_example.ipynb)! Step-by-step procedures are well-expressed.

If you want to use it for data augmentation, I recommend you to modify the jupyter notebook file.

Below are interesting slices for each step. Have fun!

Generation of Binary Tumor Mask

The binary tumor masks are generated by following figure.

There are 4 different cases of video for generation of the binary tumor masks.

The 1st column and the 2nd column are the input and output images.

Generation of Grade Tumor Mask

The grade tumor masks are generated by following figure.

There are 4 different cases of video for generation of the grade tumor masks.

The 1st column and the 2nd column are the input and output images.

Synthesis of Brain Tumor MR Images

The brain tumor images are synthesized by following figure.

The results of synthesis is following:

The 1st column represents various concentric circles, and the images of 2nd column are the grade tumor mask generated by the concentric circles of 1st column. The images of the 3rd to 6th column are brain tumor MR images which are taken by imaging squence of FLAIR, T1w, T1c, T2w