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Minimally invasive surgery (MIS) offers several advantages including minimum tissue injury and blood loss, and quick recovery time, however, it imposes some limitations on surgeons ability. Among others such as lack of tactile or haptic…

机器人学 · 计算机科学 2021-09-07 Shahnewaz Ali , Yaqub Jonmohamadi , Ross Crawford , Davide Fontanarosa , Ajay K. Pandey

One of the major challenges in Minimally Invasive Surgery (MIS) such as laparoscopy is the lack of depth perception. In recent years, laparoscopic scene tracking and surface reconstruction has been a focus of investigation to provide rich…

计算机视觉与模式识别 · 计算机科学 2017-03-06 Long Chen , Wen Tang , Nigel W. John , Tao Ruan Wan , Jian Jun Zhang

Flexible robots hold great promise for enhancing minimally invasive surgery (MIS) by providing superior dexterity, precise control, and safe tissue interaction. Yet, translating these advantages into endoscopic interventions within open…

The potential of Augmented Reality (AR) technology to assist minimally invasive surgeries (MIS) lies in its computational performance and accuracy in dealing with challenging MIS scenes. Even with the latest hardware and software…

计算机视觉与模式识别 · 计算机科学 2017-08-04 Long Chen , Wen Tang , Nigel W. John

Robotic-assisted Minimally Invasive Surgery (RMIS) can benefit from the automation of common, repetitive or well-defined but ergonomically difficult tasks. One such task is the scanning of a pick-up endomicroscopy probe over a complex,…

机器人学 · 计算机科学 2018-03-05 Lin Zhang , Menglong Ye , Petros Giataganas , Michael Hughes , Guang-Zhong Yang

Learning-based 3D object reconstruction enables single- or few-shot estimation of 3D object models. For robotics, this holds the potential to allow model-based methods to rapidly adapt to novel objects and scenes. Existing 3D reconstruction…

This study presents an integrated framework for enhancing the safety and operational efficiency of robotic arms in laparoscopic surgery by addressing key challenges in collision detection and minimum distance estimation. By combining…

机器人学 · 计算机科学 2026-01-23 Sarvin Ghiasi , Majid Roshanfar , Jake Barralet , Liane S. Feldman , Amir Hooshiar

Surgical scene understanding in Robot-assisted Minimally Invasive Surgery (RMIS) is highly reliant on visual cues and lacks tactile perception. Force-modulated surgical palpation with tactile feedback is necessary for localization,…

机器人学 · 计算机科学 2024-08-27 Raghava Uppuluri , Abhinaba Bhattacharjee , Sohel Anwar , Yu She

Objective: The computation of anatomical information and laparoscope position is a fundamental block of surgical navigation in Minimally Invasive Surgery (MIS). Recovering a dense 3D structure of surgical scene using visual cues remains a…

计算机视觉与模式识别 · 计算机科学 2022-11-29 Ruofeng Wei , Bin Li , Hangjie Mo , Bo Lu , Yonghao Long , Bohan Yang , Qi Dou , Yunhui Liu , Dong Sun

Accurate camera-to-robot calibration is essential for any vision-based robotic control system and especially critical in minimally invasive surgical robots, where instruments conduct precise micro-manipulations. However, MIS robots have…

机器人学 · 计算机科学 2025-10-07 Zekai Liang , Kazuya Miyata , Xiao Liang , Florian Richter , Michael C. Yip

We propose a new benchmark for evaluating stereoscopic visual-inertial computer vision algorithms (SLAM/ SfM/ 3D Reconstruction/ Visual-Inertial Odometry) for minimally invasive surgical (MIS) interventions in the abdomen. Our MITI Dataset…

图像与视频处理 · 电气工程与系统科学 2026-02-12 Regine Hartwig , Daniel Ostler , Jean-Claude Rosenthal , Hubertus Feußner , Dirk Wilhelm , Dirk Wollherr

Robotic-assisted surgery allows surgeons to conduct precise surgical operations with stereo vision and flexible motor control. However, the lack of 3D spatial perception limits situational awareness during procedures and hinders mastering…

图像与视频处理 · 电气工程与系统科学 2022-03-07 Shang Zhao , Ce Wang , Qiyuan Wang , Yanzhe Liu , S Kevin Zhou

Background: Robot-assisted minimally invasive surgery (RMIS) research increasingly relies on multimodal data, yet access to proprietary robot telemetry remains a major barrier. We introduce MiDAS, an open-source, platform-agnostic system…

One-shot medical image segmentation (MIS) is crucial for medical analysis due to the burden of medical experts on manual annotation. The recent emergence of the segment anything model (SAM) has demonstrated remarkable adaptation in MIS but…

图像与视频处理 · 电气工程与系统科学 2025-04-30 Jia Wang , Yunan Mei , Jiarui Liu , Xin Fan

Automatic reconstruction of 3D models from images using multi-view Structure-from-Motion methods has been one of the most fruitful outcomes of computer vision. These advances combined with the growing popularity of Micro Aerial Vehicles as…

机器人学 · 计算机科学 2016-11-15 Shreyansh Daftry , Christof Hoppe , Horst Bischof

Humanoid robot technologies have demonstrated immense potential for minimally invasive surgery (MIS). Unlike dedicated multi-arm surgical platforms, the inherent dual-arm configuration of humanoid robots necessitates an efficient instrument…

机器人学 · 计算机科学 2026-04-06 Bingcong Zhang , Yihang Lyv , Lianbo Ma , Yushi He , Pengfei Wei , Xingchi Liu , Jinhua Li , Jianchang Zhao , Lizhi Pan

Nowadays, there are more surgical procedures that are being performed using minimally invasive surgery (MIS). This is due to its many benefits, such as minimal post-operative problems, less bleeding, minor scarring, and a speedy recovery.…

计算机视觉与模式识别 · 计算机科学 2022-09-27 Tochukwu Onyeogulu , Salman Khan , Izzeddin Teeti , Amirul Islam , Kaizhe Jin , Adrian Rubio-Solis , Ravi Naik , George Mylonas , Fabio Cuzzolin

This paper tackles instrument tracking and 3D visualization challenges in minimally invasive surgery (MIS), crucial for computer-assisted interventions. Conventional and robot-assisted MIS encounter issues with limited 2D camera projections…

计算机视觉与模式识别 · 计算机科学 2024-01-19 Shubhangi Nema , Abhishek Mathur , Leena Vachhani

As robots for minimally invasive surgery (MIS) gradually become more accessible and modular, we believe there is a great opportunity to rethink and expand the visualization and control paradigms that have characterized surgical…

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