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Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings
The joint utilization of diverse data sources for medical imaging segmentation has emerged as a crucial area of research, aiming to address challenges such as data heterogeneity, domain shift, and data quality discrepancies.
Knowledge Distillation for Adaptive MRI Prostate Segmentation Based on Limit-Trained Multi-Teacher Models
To deal with this issue, Knowledge Distillation (KD) has been proposed as a compression method and an acceleration technology.
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