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Boundary-Aware Transformers for Lesion Segmentation by moshiur rahman is a document available to read on EtoBox.

What is Boundary-Aware Transformers for Lesion Segmentation about?

The document presents a novel boundary-aware transformer (BAT) for skin lesion segmentation, addressing challenges such as ambiguous boundaries and variations in melanoma appearance. By integrating a boundary-wise attention gate (BAG), the model captures both global dependencies and local details, improving segmentation accuracy. Extensive experiments demonstrate that BAT consistently outperforms state-of-the-art methods on several datasets, highlighting its effectiveness in automated skin cancer diagnosis.

Author

moshiur rahman

Language

EN