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Multi-Layer Dense Attention Decoder for Polyp Segmentation
March 28, 2024, 4:45 a.m. | Krushi Patel, Fengjun Li, Guanghui Wang
cs.CV updates on arXiv.org arxiv.org
Abstract: Detecting and segmenting polyps is crucial for expediting the diagnosis of colon cancer. This is a challenging task due to the large variations of polyps in color, texture, and lighting conditions, along with subtle differences between the polyp and its surrounding area. Recently, vision Transformers have shown robust abilities in modeling global context for polyp segmentation. However, they face two major limitations: the inability to learn local relations among multi-level layers and inadequate feature aggregation …
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
1 day, 10 hours ago |
arxiv.org
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