Dear colleagues;
I am looking for a Python code to segment the lesions on CT and MRI images using UNET. I need a generic code which, by changing a few words, I can reuse for different lesions.
The code must get the manually segmented images and learn to segment the future images.
Thank you
Dear Houman Sotoudeh
These links seems to be helpful, have a look:
1. https://medium.com/@fabio.sancinetti/u-net-convnet-for-ct-scan-segmentation-6cc0d465eed3
2. https://towardsdatascience.com/medical-image-segmentation-part-1-unet-convolutional-networks-with-interactive-code-70f0f17f46c6
3. https://towardsdatascience.com/medical-images-segmentation-using-keras-7dc3be5a8524
4. https://github.com/zhixuhao/unet
5. https://github.com/topics/3d-unet
6. https://github.com/mateuszbuda/brain-segmentation-pytorch
7. https://github.com/topics/unet-segmentation
8. https://www.youtube.com/watch?v=Dt73QWZQck4
9. https://www.youtube.com/watch?v=CogGIdkDA8g
Kind Regards
Qamar Ul Islam
Dear Houman Sotoudeh
The following links may help you:
https://github.com/oriolaranda/DistMIS
https://github.com/pykao/Modified-3D-UNet-Pytorch
Preprint Brain Tumor Segmentation and Tractographic Feature Extractio...
https://github.com/pykao/BraTS2018-tumor-segmentation
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