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FCN model and utils for automating the segmentation of knee structures from MR images
mri_segmentation_cnn's Introduction
Fully Convolutional Network Architecture for the Automation of MR Image Segmentation
- load_dicom
- loads all the .dcm files in a filepath into a np.ndarray
- load_nrrd
- loads a single .nrrd file from filepath into a np.ndarray
- optionally returns the header information
Network Architecture and Ideas:
- Fully Convolutional Network
- Mark regions that are somewhat uncertain
- Use Seg3D2 or own simple verification application
- Different mask for each tissue + different mask for uncertain tissues
- Re-trainable with new data -> after manual verification
- Output format?
- Prevent Catastrophic Forgetting
- Keep lr
python currentLearningRate = K.get_value(model.optimizer.lr)
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