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Related papers: SurgiTrack: Fine-Grained Multi-Class Multi-Tool Tr…

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Tool tracking in surgical videos is essential for advancing computer-assisted interventions, such as skill assessment, safety zone estimation, and human-machine collaboration. However, the lack of context-rich datasets limits AI…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Chinedu Innocent Nwoye , Kareem Elgohary , Anvita Srinivas , Fauzan Zaid , Joël L. Lavanchy , Nicolas Padoy

Automated tracking of surgical tool keypoints in robotic surgery videos is an essential task for various downstream use cases such as skill assessment, expertise assessment, and the delineation of safety zones. In recent years, the…

Computer Vision and Pattern Recognition · Computer Science 2025-01-31 Bhargav Ghanekar , Lianne R. Johnson , Jacob L. Laughlin , Marcia K. O'Malley , Ashok Veeraraghavan

Vision-based surgical navigation has received increasing attention due to its non-invasive, cost-effective, and flexible advantages. In particular, a critical element of the vision-based navigation system is tracking surgical instruments.…

Computer Vision and Pattern Recognition · Computer Science 2024-09-05 Wenwu Guo , Jinlin Wu , Zhen Chen , Qingxiang Zhao , Miao Xu , Zhen Lei , Hongbin Liu

Surgical tool detection is essential for analyzing and evaluating minimally invasive surgery videos. Current approaches are mostly based on supervised methods that require large, fully instance-level labels (i.e., bounding boxes). However,…

Computer Vision and Pattern Recognition · Computer Science 2024-01-10 Ryo Fujii , Ryo Hachiuma , Hideo Saito

Accurate tracking of tissues and instruments in videos is crucial for Robotic-Assisted Minimally Invasive Surgery (RAMIS), as it enables the robot to comprehend the surgical scene with precise locations and interactions of tissues and…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Bohan Zhan , Wang Zhao , Yi Fang , Bo Du , Francisco Vasconcelos , Danail Stoyanov , Daniel S. Elson , Baoru Huang

Purpose: Real-time surgical tool tracking is a core component of the future intelligent operating room (OR), because it is highly instrumental to analyze and understand the surgical activities. Current methods for surgical tool tracking in…

Computer Vision and Pattern Recognition · Computer Science 2022-04-04 Chinedu Innocent Nwoye , Didier Mutter , Jacques Marescaux , Nicolas Padoy

Surgical tool segmentation in endoscopic images is the first step towards pose estimation and (sub-)task automation in challenging minimally invasive surgical operations. While many approaches in the literature have shown great results…

Robotics · Computer Science 2019-02-14 Cristian da Costa Rocha , Nicolas Padoy , Benoit Rosa

Advances in surgical video analysis are transforming operating rooms into intelligent, data-driven environments. Computer-assisted systems support full surgical workflow, from preoperative planning to intraoperative guidance and…

Image and Video Processing · Electrical Eng. & Systems 2025-09-22 Sahar Nasirihaghighi

Mastering the technical skills required to perform surgery is an extremely challenging task. Video-based assessment allows surgeons to receive feedback on their technical skills to facilitate learning and development. Currently, this…

Computer Vision and Pattern Recognition · Computer Science 2022-07-07 Mona Fathollahi , Mohammad Hasan Sarhan , Ramon Pena , Lela DiMonte , Anshu Gupta , Aishani Ataliwala , Jocelyn Barker

Purpose: In this paper, we present a novel approach for online object tracking in laparoscopic cholecystectomy (LC) surgical videos, targeting localisation and tracking of critical anatomical structures and instruments. Our method addresses…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Subhadeep Koley , Abdolrahim Kadkhodamohammadi , Santiago Barbarisi , Danail Stoyanov , Imanol Luengo

Oblique back-illumination capillaroscopy has recently been introduced as a method for high-quality, non-invasive blood cell imaging in human capillaries. To make this technique practical for clinical blood cell counting, solutions for…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Luojie Huang , Gregory N. McKay , Nicholas J. Durr

Surgical tool localization is an essential task for the automatic analysis of endoscopic videos. In the literature, existing methods for tool localization, tracking and segmentation require training data that is fully annotated, thereby…

Computer Vision and Pattern Recognition · Computer Science 2018-07-19 Armine Vardazaryan , Didier Mutter , Jacques Marescaux , Nicolas Padoy

Ultrasound technology enables safe, non-invasive imaging of dynamic tissue behavior, making it a valuable tool in medicine, biomechanics, and sports science. However, accurately tracking tissue motion in B-mode ultrasound remains…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Praneeth Namburi , Roger Pallarès-López , Jessica Rosendorf , Duarte Folgado , Brian W. Anthony

Synthetic datasets have enabled significant progress in point tracking by providing large-scale, densely annotated supervision. However, deploying these models in real-world domains remains challenging due to domain shift and lack of…

Computer Vision and Pattern Recognition · Computer Science 2025-05-12 Valay Bundele , Mehran Hosseinzadeh , Hendrik Lensch

Minimally invasive surgery is highly operator dependant with a lengthy procedural time causing fatigue to surgeon and risks to patients such as injury to organs, infection, bleeding, and complications of anesthesia. To mitigate such risks,…

Computer Vision and Pattern Recognition · Computer Science 2023-01-16 Mansoor Ali , Rafael Martinez Garcia Pena , Gilberto Ochoa Ruiz , Sharib Ali

Accurate tissue point tracking in endoscopic videos is critical for robotic-assisted surgical navigation and scene understanding, but remains challenging due to complex deformations, instrument occlusion, and the scarcity of dense…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Rulin Zhou , Wenlong He , An Wang , Qiqi Yao , Haijun Hu , Jiankun Wang , Xi Zhang an Hongliang Ren

Analyzing surgical workflow is crucial for surgical assistance robots to understand surgeries. With the understanding of the complete surgical workflow, the robots are able to assist the surgeons in intra-operative events, such as by giving…

Computer Vision and Pattern Recognition · Computer Science 2021-05-12 Yutong Ban , Guy Rosman , Thomas Ward , Daniel Hashimoto , Taisei Kondo , Hidekazu Iwaki , Ozanan Meireles , Daniela Rus

Surgical scenes convey crucial information about the quality of surgery. Pixel-wise localization of tools and anatomical structures is the first task towards deeper surgical analysis for microscopic or endoscopic surgical views. This is…

Computer Vision and Pattern Recognition · Computer Science 2024-09-13 Çağhan Köksal , Ghazal Ghazaei , Nassir Navab
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