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多尺度,多维的双眼内镜图像深度估计网络

Xiongzhi Wang1, Yunfeng Nie2, Wenqi Ren3

  • 1School of Future Technology, University of Chinese Academy of Sciences, Beijing 100039, China; School of Aerospace Science And Technology, Xidian University, Xian 710071, China.

Computers in biology and medicine
|August 19, 2023
PubMed
概括

这项研究引入了一种新的深度学习模型,用于从内镜图像进行实时深度估计,这对于外科导航至关重要. 开发的多级监督深度估计网络 (MMDENet) 在具有挑战性的外科环境中显著提高了准确性.

关键词:
卷积神经网络是一种卷积神经网络.深度估计估计的深度.内镜数据集的内镜数据集.立体镜视力 立体镜视力

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Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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