A Novel Self-Supervised Learning Network for Binocular Disparity Estimation

Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination, hindering accurate three-dimensional lesion reconstruction by surgical robots. This study pr... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Computer Modeling in Engineering & Sciences
Published
2024-11-07
DOI
https://doi.org/10.32604/cmes.2024.057032
Citations
8
Primary Topic
Glaucoma and retinal disorders
Type
article
Field-Weighted Citation Impact
4.31

Funders

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article

A Novel Self-Supervised Learning Network for Binocular Disparity Estimation

Yu Zhou, Hongrong Chen, Siyu Lu, Salman A. AlQahtani et al.
8 citations
Computer Modeling in Engineering & Sciences
Glaucoma and retinal disorders
4.31
article

A Novel Self-Supervised Learning Network for Binocular Disparity Estimation

Yu Zhou, Hongrong Chen, Siyu Lu, Salman A. AlQahtani, Jiawei Tian, Wenfeng Zheng, Bo Yang, Xiaobing Chen
article en
8 citations

Abstract

Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination, hindering accurate three-dimensional lesion reconstruction by surgical robots. This study pr... | Find, read and cite all the research you need on Tech Science Press

Computer Modeling in Engineering & SciencesVol. 142(1)
Hanyang University, King Saud University, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion
Openalex Percentile: Top 5%
Glaucoma and retinal disorders
4.31
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