Researchers have developed a new multi-stage framework for segmenting bi-atrial regions from 3D MRI scans. The process begins with a preprocessing step using MCLAHE for contrast enhancement. Subsequently, a V-Net family model performs coarse segmentation on down-sampled images, followed by a second V-Net model for fine segmentation of the target region. The framework utilizes an asymmetric loss function to optimize model training. AI
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IMPACT This research introduces a novel approach to medical image segmentation, potentially improving diagnostic accuracy for cardiac conditions.
RANK_REASON The cluster contains an academic paper detailing a new segmentation framework.