Photonics Research, Volume. 13, Issue 2, 550(2025)

Monocular depth estimation based on deep learning for intraoperative guidance using surface-enhanced Raman scattering imaging

Aniwat Juhong1,2, Bo Li1,2, Yifan Liu1,2, Cheng-You Yao2,3, Chia-Wei Yang2,4, A. K. M. Atique Ullah2,4, Kunli Liu2,4, Ryan P. Lewandowski5, Jack R. Harkema5, Dalen W. Agnew5, Yu Leo Lei6, Gary D. Luker7, Xuefei Huang2,3,4, Wibool Piyawattanametha2,8, and Zhen Qiu1,2,3、*
Author Affiliations
  • 1Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, USA
  • 2Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48824, USA
  • 3Department of Biomedical Engineering, Michigan State University, East Lansing, Michigan 48824, USA
  • 4Department of Chemistry, Michigan State University, East Lansing, Michigan 48824, USA
  • 5Department of Pathobiology and Diagnostic Investigation, College of Veterinary Medicine, Michigan State University, East Lansing, Michigan 48824, USA
  • 6Department of Periodontics and Oral Medicine, University of Michigan, Ann Arbor, Michigan 48104, USA
  • 7Departments of Radiology and Biomedical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA
  • 8Department of Biomedical Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang (KMITL), Bangkok 10520, Thailand
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    Aniwat Juhong, Bo Li, Yifan Liu, Cheng-You Yao, Chia-Wei Yang, A. K. M. Atique Ullah, Kunli Liu, Ryan P. Lewandowski, Jack R. Harkema, Dalen W. Agnew, Yu Leo Lei, Gary D. Luker, Xuefei Huang, Wibool Piyawattanametha, Zhen Qiu, "Monocular depth estimation based on deep learning for intraoperative guidance using surface-enhanced Raman scattering imaging," Photonics Res. 13, 550 (2025)

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Jul. 29, 2024

    Accepted: Dec. 8, 2024

    Published Online: Feb. 10, 2025

    The Author Email: Zhen Qiu (qiuzhen@msu.edu)

    DOI:10.1364/PRJ.536871

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