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RDTE-UNet: A Boundary and Detail Aware UNet for Precise Medical Image Segmentation

arXiv — cs.CV•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
The introduction of RDTE-UNet marks a significant advancement in medical image segmentation, a crucial area for enhancing computer-assisted diagnosis and treatment planning. This innovative network addresses challenges like anatomical variability and boundary ambiguity, which often complicate the accurate delineation of fine structures in medical images. By combining local modeling with global context, RDTE-UNet improves boundary delineation and detail preservation, potentially leading to more precise diagnoses and better patient outcomes.
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