Page 54 - 《中国医疗器械杂志》2025年第2期
P. 54

Chinese Journal of Medical Instrumentation                                         2025 年 第49卷 第2期

                                                    综     合     评    述



                  supervised  learning[C]//  Proceedings  of  the  18th  IEEE  Augmented  reality  visualization  for  laparoscopic
                  International  Symposium  on  Biomedical  Imaging.  New  surgery[M]//WELLS W M, COLCHESTER A, DELP S.
                  York, NY: IEEE, 2021: 733-737.                    MICCAI1998.   Berlin,   Germany:   Springer-Verlag,
              [30]   DAHER  R,  VASCONCELOS  F,  STOYANOV  D.  A    1998:934-943.
                  temporal  learning  approach  to  inpainting  endoscopic  [43]   LUO  H  L,  YIN  D  L,  ZHANG  S  G,  et  al.  Augmented
                  specularities  and  its  effect  on  image  correspondence[J].  reality  navigation  for  liver  resection  with  a  stereoscopic
                  Med Image Anal, 2023, 90: 102994.                 laparoscope[J].  Comput  Methods  Programs  Biomed,
              [31]   LONG Y H, LI Z S, YEE C H, et al. E-DSSR: efficient  2020, 187: 105099.
                  dynamic  surgical  scene  reconstruction  with  transformer-  [44]   FU  Z  M,  JIN  Z  Y,  ZHANG  C  A,  et  al.  The  future  of
                  based  stereoscopic  depth  perception[C]//  Proceedings  of  endoscopic navigation: a review of advanced endoscopic
                  the  International  Conference  on  Medical  Image  vision  technology[J].  IEEE  Access,  2021,  9:  41144-
                  Computing  and  Computer  Assisted  Intervention.  41167.
                  Strasbourg,  France:  Springer  International  Publishing,  [45]   BARTHOLOMEW R A, ZHOU H Y, BOREEL M, et al.
                  2021: 415-425.                                    Surgical  navigation  in  the  anterior  skull  base  using  3-
              [32]   TUKRA S, MARCUS H J, GIANNAROU S. See-through  dimensional  endoscopy  and  surface  reconstruction[J].
                  vision  with  unsupervised  scene  occlusion  reconstruc-  AMA Otolaryngol Head Neck Surg, 2024, 150(4): 318-
                  tion[J].  IEEE  Trans  Pattern  Anal  Mach  Intell,  2022,  326.
                  44(7): 3779-3790.                             [46]   MERCORIO A, ZIZOLFI B, BARBUTO S, et al. Three-
              [33]   PSYCHOGYIOS  D,  MAZOMENOS  E,  VASCONCELOS    dimensional  imaging  reconstruction  and  laparoscopic
                  F, et al.  MSDESIS:  multitask  stereo  disparity  estimation  robotic  surgery:  a  winning  combination  for  a  complex
                  and surgical instrument segmentation[J]. IEEE Trans Med  case  of  multiple  myomectomy[J].  Fertil  Steril,  2023,
                  Imaging, 2022, 41(11): 3218-3230.                 120(1): 202-204.
              [34]   ZHU L T, WANG Z, CUI J H, et al. EndoGS: deformable  [47]   李玲. 面向人机协同微创手术的智能感知与行为决策
                  endoscopic  tissues  reconstruction  with  Gaussian  splat-  方法研究 [D]. 合肥: 合肥工业大学, 2022.
                  ting[EB/OL].  arXiv  preprint,  arXiv:2401.11535(2024-02-  [48]   陆波, 刘会聪, 侯诚, 等. 手术机器人智能化视触感知与
                  12)[2024-05-30]. https://arxiv.org/abs/2401.11535.  自主化操作技术的发展与应用综述[J]. 机械设计与制
              [35]   夏振平, 张博文, 王飞, 等. 三维医用电子内窥镜可视化                  造工程, 2023, 52(2): 1-8.
                  中的几何畸变[J]. 液晶与显示, 2022, 37(1): 29-36.         [49]   郭靖, 吴迪, 成卓奇, 等. 机器人辅助手术自主性技术的
              [36]   LIU S, PENG Y M, LUO L, et al. Study on binocular 3D  进展[J]. 机器人外科学杂志(中英文), 2023, 4(4): 281-
                  sensor  vision  system  for  3D  teeth  model  measure-  298.
                  ment[C]//  Proceedings  of  the  Annual  Conference  of  the  [50]   SÁNCHEZ-GONZÁLEZ  P,  CANO  A  M,  OROPESA  I,
                  Chinese-Society-of-Optical-Engineering   (CSOE)   on  et al. Laparoscopic video analysis for training and image-
                  Optical  Sensing  and  Imaging  Technology.  Bellingham,  guided surgery[J]. Minim Invasive Ther Allied Technol,
                  WA: SPIE Press, 2019: 723-731.                    2011, 20(6): 311-320.
              [37]   MARRUGO  A  G,  ROMERO  L  A,  PINEDA  J,  et  al.  [51]   GAVRILOVA M, KLIMENKO S, PESTRIKOV V, et al.
                  Toward  an  automatic  3D  measurement  of  skin  wheals  Constructing  three-dimensional  models  for  surgical
                  from skin prick tests[C]// Proceedings of the Conference  training  simulators[C]//  Proceedings  of  the  6th  Interna-
                  on  Dimensional  Optical  Metrology  and  Inspection  for  tional Conference on Health Information Science. Berlin,
                  Practical Applications Ⅷ. Bellingham, WA: SPIE Press,  Germany: Springer-Verlag, 2017: 162-169.
                  2019: 9-18.                                   [52]   CHONG N N. 3D reconstruction of laparoscope images
              [38]   倪宇明. 基于深度学习和双目视觉的头部自由遥测式                       with contrastive learning methods[J]. IEEE Access, 2022,
                  瞳孔计研究[D]. 天津: 天津大学, 2020.                         10: 4456-4470.
              [39]   WAGNER M, MAYER B F B, BODENSTEDT S, et al.  [53]   MILDENHALL  B,  SRINIVASAN  P  P,  TANCIK  M,
                  Computer-assisted  3D  bowel  length  measurement  for  et al. NeRF: representing scenes as neural radiance fields
                  quantitative  laparoscopy[J].  Surg  Endosc,  2018,  32(9):  for  view  synthesis[EB/OL].  arXiv  preprint,  arXiv:2003.
                  4052-4061.                                        08934(2020-08-03)[2024-05-30]. https://arxiv.org/abs/
              [40]   KHAMIS  S,  FANELLO  S,  RHEMANN  C,  et  al.  2003.08934.
                  StereoNet:  guided  hierarchical  refinement  for  real-time  [54]   KERBL B, KOPANAS G, LEIMKÜHLER T, et al. 3D
                  edge-aware depth prediction[C]// Proceedings of the 15th  Gaussian   splatting   for   real-time   radiance   field
                  European  Conference  on  Computer  Vision.  Berlin,  rendering[J]. ACM Trans, 2023, 42(4): 139: 1-139: 14.
                  Germany: Springer-Verlag, 2018: 596-613.      [55]   WANG  Y  H,  LONG  Y  H,  FAN  S  H,  et  al.  Neural
              [41]   YU H, ZHOU C J, ZHANG W, et al. A three-dimensional  rendering  for  stereo  3D  reconstruction  of  deformable
                  measurement method for binocular endoscopes based on  tissues  in  robotic  surgery[C]//  Proceedings  of  Interna-
                  deep learning[J]. Front Inf Technol Electron Eng, 2022,  tional  conference  on  medical  image  computing  and
                  23(4): 653-660.                                   computer-assisted   intervention.   Berlin,   Germany:
              [42]   FUCHS  H,  LIVINGSTON  M  A,  RASKAR  R,  et  al.  Springer-Verlag, 2022: 431-441.


                                                             168
   49   50   51   52   53   54   55   56   57   58   59