Detection of cerebral microbleeds using deep learning method consisting of 2 steps: initial candidate detection and candidate discrimination using a student-teacher network.
deep-learning
mri
unet
knowledge-distillation
multitask-learning
pytorch-implementation
lesion-detection
student-teacher-learning
cerebral-microbleeds
microbleeds
vessel-removal
candidate-detection
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Updated
Jun 16, 2024 - Python