Can be applied to 3D volumes from FIB-SEM, CT, MRI, etc. (e.g., BRATS dataset).
Code generated in the video can be downloaded from here:
https://github.com/bnsreenu/python_for_microscopists
If you get an error while loading Segmentation models library, please follow these steps to fix the issue: https://youtu.be/syJZxDtLujs
The dataset used in this video can be downloaded from the link below. This dataset can be used to train and test machine learning algorithms designed for multiclass semantic segmentation. Please read the Readme document for more information.
https://drive.google.com/file/d/1HWtBaSa-LTyAMgf2uaz1T9o1sTWDBajU/view?usp=sharing
To annotate images and generate labels, you can use APEER (for free):
www.apeer.com
Segmentation models 3D library documentation:
https://pypi.org/project/segmentation-models-3D/