Self-supervised neural network-based endoscopic monocular 3D reconstruction method-Reference-Cited by-同舟云学术

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Self-supervised neural network-based endoscopic monocular 3D reconstruction method

Published:2023-12-11 Issue:1 Volume:12 Page:
ISSN:2047-2501
Container-title:Health Information Science and Systems
language:en
Short-container-title:Health Inf Sci Syst

Author:

Zhang Ziming,Tan Wenjun,Sun Yuhang,Han Juntao,Wang Zhe,Xue Hongsheng,Wang Ruoyu

Funder

Fundamental Research Funds for the Central Universities

Science and Technology Plan of Liaoning Province

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s13755-023-00262-7.pdf

Reference43 articles.

1. Global Cancer Statistics Report 2020. Chin J Prev Med 2021;55(03):398–398

2. Schonberger JL, Frahm JM, Ieee. Structure-from-Motion Revisited. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016; pp. 4104–4113.

3. Mur-Artal R, Tardos JD. ORB-SLAM2: an open-source SLAM system for monocular, stereo, and RGB-D cameras. Ieee Trans Robot. 2017;33(5):1255–62.

4. Engel J, Schoeps T, Cremers D. LSD-SLAM: large-scale direct monocular SLAM. In: 13th European Conference on Computer Vision (ECCV), 2014;834–849

5. Lee SH, Civera J. Loosely-coupled semi-direct monocular SLAM. Ieee Robot Autom Lett. 2019;4(2):399–406.

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