AINeutralarXiv – CS AI · 7h ago6/10
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SAM for Robust Mitochondria Instance Segmentation in Fluorescence Microscopy
Researchers propose a novel approach to segment mitochondria in fluorescence microscopy images by fine-tuning the Segment Anything Model (SAM) exclusively on synthetically generated data. This addresses the critical challenge of domain shift and data scarcity in medical imaging, demonstrating that simulation-assisted training can improve segmentation precision and accuracy over existing baselines.