
MRSegmentator is a novel deep learning model that accurately and robustly segments 40 anatomical structures in both MRI and CT images, addressing the limitations of existing organ-specific approaches and offering a valuable tool for automated multi-organ segmentation in medical imaging research.


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MRSegmentator: A Deep Learning Model for Multi-Organ Segmentation in MRI and CT Images


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The authors propose Densely Decoded Networks (DDN) with Adaptive Deep Supervision (ADS) to improve medical image segmentation by refining dense prediction and enhancing feature extraction.


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Enhanced Medical Image Segmentation with DDN and ADS
