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PR 12 51 by universitycollege100 is a document available to read on EtoBox.

What is PR 12 51 about?

The document discusses the challenges of accurately segmenting pancreatic tumors from contrast-enhanced CT images, highlighting the limitations of traditional methods and the potential of deep learning approaches. It proposes a novel Frequency-Aware Swin Transformer UNet (FA-SwinUNet) architecture that combines transformer-based global context modeling with frequency-domain feature enhancement to improve segmentation precision and boundary delineation. The project aims to develop an automated system that ad

Author

universitycollege100

Language

EN