Medical Image Segmentation with Med-SA: Adapting SAM for Healthcare
Medical image segmentation is a cornerstone of modern healthcare diagnostics, enabling precise identification and analysis of organs, tissues, and abnormalities. However, traditional segmentation methods often struggle to generalize across diverse medical imaging modalities such as CT scans, MRI, ultrasound, and fundus images. Enter Med-SA , an innovative framework that adapts the powerful Segment Anything Model […]
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