A novel hierarchical deep learning framework enables direct Desikan-Killiany brain parcellation using only diffusion ...
Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...
Abstract: Semi-supervised learning (SSL) has achieved remarkable progress in the field of medical image segmentation (MIS), but it still faces two main challenges. First, the consistency learning ...
Abstract: This study will examine MetaAI's 2023 Segment Anything Model (SAM) and apply it to medical image segmentation. Second, this study compares SAM's medical picture segmentation to other models.
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