Supervised Learning of Depth Estimation From Imperfect Rectified Stereo Laparoscopic Images of Liver Surface

Supervised Learning of Depth Estimation From Imperfect Rectified Stereo Laparoscopic Images of Liver Surface

Depth estimation is crucial in surface reconstruction for laparoscopic minimally invasive surgery (MIS) navigation. The structured light depth recovery algorithm accurately restores pixel-level depth but is time-consuming and requires additional light sources. Using structured light 3D optical recon...

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Bibliographic Details
Main Authors: Chongan Zhang, Ziyi Jin, Xiaoyue Liu, Yuelong Liang, Xiao Liang, Peng Wang, Xiujun Cai, Xuesong Ye
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Laparoscopic surgery
minimally invasive surgery
depth estimation
deep learning
binocular vision
Online Access:https://ieeexplore.ieee.org/document/11015967/
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https://ieeexplore.ieee.org/document/11015967/

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