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The document presents an interactive medical image annotation framework utilizing an improved Attention U-net and composite geodesic distance to enhance the accuracy and efficiency of annotating prostate MRI images. This two-stage approach minimizes user interaction by first generating initial segmentations automatically and then refining them based on user feedback, resulting in higher accuracy and reduced annotation time compared to traditional methods. The proposed method demonstrates significant improve

Author

Adil Nabih

Language

EN