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