Acta Optica Sinica, Volume. 45, Issue 11, 1111004(2025)

A Deep Learning‑Based Method For Binocular Endoscopic Stereoscopic Imaging

Yuanjue Ma1, Jingyi Xu2,3, Jun Yan2,3、**, and Liang Li1,3、*
Author Affiliations
  • 1Department of Engineering Physics, Tsinghua University, Beijing 100084, China
  • 2School of Medicine, Tsinghua University, Beijing 100084, China
  • 3Institute for Precision Medicine, Tsinghua University, Beijing 100084, China
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    References(31)

    [2] Li M H, Xie Z J, Tang Y et al. Deep learning-based denoising algorithm for photoacoustic endoscopy targeting time-domain data[J]. Acta Optica Sinica, 45, 0317001(2025).

    [3] Han C M, Wu G C. Single-view endoscopic surgical light field reconstruction combining vision transformer and diffusion model (invited)[J]. Laser & Optoelectronics Progress, 61, 1611013(2024).

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    Yuanjue Ma, Jingyi Xu, Jun Yan, Liang Li. A Deep Learning‑Based Method For Binocular Endoscopic Stereoscopic Imaging[J]. Acta Optica Sinica, 2025, 45(11): 1111004

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    Paper Information

    Category: Imaging Systems

    Received: Jan. 14, 2025

    Accepted: Apr. 14, 2025

    Published Online: Jun. 24, 2025

    The Author Email: Jun Yan (yanjun1619@mail.tsinghua.edu.cn), Liang Li (lliang@tsinghua.edu.cn)

    DOI:10.3788/AOS250491

    CSTR:32393.14.AOS250491

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