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English(EN) Polyp-VSSD: A Pre-trained Transformer with Local-Global Joint VSSD Decoding for Polyp Segmentation

Polyp-VSSD Transformer 增强内窥镜图像中的息肉分割

研究人员开发了Polyp-VSSD,一个用于分割内窥镜图像中息肉的新框架。该系统利用预训练的Transformer骨干网络,有效地结合了全局语义理解和局部细节重建。实验表明,Polyp-VSSD在EndoScene等数据集上超越了当前最先进的方法,在mIoU和mDice方面取得了高分。 AI

影响 这个新的分割框架可以提高结直肠癌检测的计算机辅助诊断系统的准确性。

排序理由 该集群包含一篇详细介绍新图像分割模型的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Polyp-VSSD Transformer 增强内窥镜图像中的息肉分割

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该集群包含一篇详细介绍新图像分割模型的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Xiaobo Zhu, Shiwei Wu, Yu An, Yuechen Tao, He Sun, Song Zhang, Zhenyu Liu ·

    Polyp-VSSD:一种用于息肉分割的具有局部-全局联合VSSD解码的预训练Transformer

    arXiv:2610.32282v1 Announce Type: new Abstract: Early detection of colorectal polyps is essential for preventing colorectal cancer, making accurate polyp segmentation a key component in computer-aided diagnosis systems. However, existing endoscopic segmentation methods often exhi…