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Image Based Surgical Instrument Pose Estimation with Multi-class Labelling and Optical Flow.

, , , , , , and . MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 331-338. Springer, (2015)

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Temporal Segmentation of Surgical Sub-tasks through Deep Learning with Multiple Data Sources., , , , , , and . ICRA, page 371-377. IEEE, (2020)2017 Robotic Instrument Segmentation Challenge., , , , , , , , , and 9 other author(s). CoRR, (2019)Stereo Correspondence and Reconstruction of Endoscopic Data Challenge., , , , , , , , , and 14 other author(s). CoRR, (2021)daVinciNet: Joint Prediction of Motion and Surgical State in Robot-Assisted Surgery., , , , and . IROS, page 2921-2928. IEEE, (2020)Mask then classify: multi-instance segmentation for surgical instruments., , , , and . Int. J. Comput. Assist. Radiol. Surg., 16 (7): 1227-1236 (2021)Toward Detection and Localization of Instruments in Minimally Invasive Surgery., , , , , and . IEEE Trans. Biomed. Eng., 60 (4): 1050-1058 (2013)Vision-based and marker-less surgical tool detection and tracking: a review of the literature., , , and . Medical Image Anal., (2017)Deep Residual Learning for Instrument Segmentation in Robotic Surgery., , , , and . CoRR, (2017)Kidney edge detection in laparoscopic image data for computer-assisted surgery., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 15 (3): 379-387 (2020)3-D Pose Estimation of Articulated Instruments in Robotic Minimally Invasive Surgery., , , , and . IEEE Trans. Medical Imaging, 37 (5): 1204-1213 (2018)