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English(EN) SurgiATM: A Physics-Guided Plug-and-Play Model for Deep Learning-Based Smoke Removal in Laparoscopic Surgery

新型AI模型SurgiATM增强手术烟雾去除效果

研究人员开发了SurgiATM,这是一种新颖的深度学习模型,旨在去除腹腔镜手术中产生的烟雾。该模型集成了基于物理的大气模型和深度学习技术,以提高内窥镜图像的视觉清晰度。SurgiATM可作为即插即用模块使用,只需对现有手术除烟架构进行少量修改,并引入两个超参数,无需额外的可训练权重。 AI

影响 该模型通过提高微创手术中的视觉清晰度,有可能提高手术精度并减少错误。

排序理由 该集群包含一篇详细介绍用于特定应用的新深度学习模型的研究论文。[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 →

新型AI模型SurgiATM增强手术烟雾去除效果

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该集群包含一篇详细介绍用于特定应用的新深度学习模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Mingyu Sheng, Jianan Fan, Dongnan Liu, Guoyan Zheng, Ron Kikinis, Weidong Cai ·

    SurgiATM:一种基于物理的即插即用模型,用于腹腔镜手术中的深度学习烟雾去除

    arXiv:2511.05059v3 Announce Type: replace Abstract: During laparoscopic surgery, smoke generated by tissue cauterization can significantly degrade the visual quality of endoscopic frames, increasing the risk of surgical errors and hindering both clinical decision-making and compu…