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Updated: May 24, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

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增强的自我监督单眼深度估计与自我注意力和关节深度姿势损失对于腹腔镜图像

Wenda Li1, Yuichiro Hayashi2, Masahiro Oda2,3

  • 1Graduate School of Informatics, Nagoya University, Furou-cho, Chikusa-ku, Nagoya, Aichi, 464-8601, Japan. wdli@mori.m.is.nagoya-u.ac.jp.

International journal of computer assisted radiology and surgery
|February 28, 2025
PubMed
概括

这项研究引入了用于腹腔镜手术的自我监督单眼深度估计方法. 它通过使用自我注意力来估计姿势和联合深度姿势损失来改善导航,从而实现了显著的准确性增长.

关键词:
深度估计估计的深度.关节功能损失 关节功能损失拉巴洛斯科普图像 拉巴洛斯科普图像自主监督学习学习

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相关概念视频

Depth Perception and Spatial Vision01:15

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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