English(EN) Endoscopic Depth Estimation Based on Deep Learning: A Survey

综述详述深度学习在手术内窥镜深度估计中的应用

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-02 04:00

本文全面综述了用于内窥镜深度估计的深度学习技术，这是微创手术的关键技术。文章从数据采集、方法论（单目和双目）以及临床应用等角度回顾了现有文献。综述还强调了临床实施中的挑战，并提出了领域自适应和实时处理等未来研究方向。 AI

影响为手术精度中的医学影像深度学习应用提供了结构化概述。

排序理由该条目是一篇在arXiv上发表的综述论文。[lever_c_demoted from research: ic=1 ai=1.0]

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

本文如何被排名

Signal score: 28 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该条目是一篇在arXiv上发表的综述论文。[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。

arXiv cs.CV TIER_1 English(EN) · Ke Niu, Zeyun Liu, Xue Feng, Heng Li, Naian Xiao, Binghua Su, Qika Lin, Kaize Shi · 2026-09-02 04:00

基于深度学习的内窥镜深度估计：一项调查

arXiv:2507.20881v3 Announce Type: replace Abstract: Endoscopic depth estimation is a critical technology for improving the safety and precision of minimally invasive surgery. It has attracted considerable attention from researchers in medical imaging, computer vision, and robotic…