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Detection of cerebral microbleeds using deep learning method consisting of 2 steps: initial candidate detection and candidate discrimination using a student-teacher network.

Python 99.58% Shell 0.42%
candidate-detection cerebral-microbleeds deep-learning knowledge-distillation lesion-detection microbleeds mri multitask-learning pytorch-implementation student-teacher-learning unet vessel-removal

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microbleed-detection's Issues

Trouble installing and running microbleednet

I've tried running the scripts and the code:

  • python setup.py install
  • microbleednet --help

However, doing this gives me issues such as:

  • ModuleNotFoundError: No module named 'sklearn'
  • Sympy now depends on mpmath as an external library

Could you please let me know what I'm doing wrong? Thanks!

prepare_microbleed_data command

@v-sundaresan
Hello, I'm stuck on using your prepare_microbleed_data command.
Can you tell me how I'm supposed to specify the directories for the input images and output images by showing me a specific command example?
Also, how are we supposed to organize our data? should all of our .nii files be zipped in a .nii.gz format and then prepared through the command above?
Can anyone who succeeded in using this module help me?

Thank you for your great code btw.

Available model?

Hello, is the model you trained available with this code? I cannot find it. If so, could you provide an example of how to use it?

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