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Many keyhole interventions rely on bi-manual handling of surgical instruments, forcing the main surgeon to rely on a second surgeon to act as a camera assistant. In addition to the burden of excessively involving surgical staff, this may…

Flexible endoscopes for colonoscopy present several limitations due to their inherent complexity, resulting in patient discomfort and lack of intuitiveness for clinicians. Robotic devices together with autonomous control represent a viable…

Following recent advancements in computer-aided detection and diagnosis systems for colonoscopy, the automated reporting of colonoscopy procedures is set to further revolutionize clinical practice. A crucial yet underexplored aspect in the…

Computer Vision and Pattern Recognition · Computer Science 2025-04-28 Carlo Biffi , Giorgio Roffo , Pietro Salvagnini , Andrea Cherubini

Employing a teleoperation system for gathering demonstrations offers the potential for more efficient learning of robot manipulation. However, teleoperating a robot arm equipped with a dexterous hand or gripper, via a teleoperation system…

Computer-assisted multimodal training is an effective way of learning complex motor skills in various applications. In particular disciplines (eg. healthcare) incompetency in performing dexterous hands-on examinations (clinical palpation)…

Human-Computer Interaction · Computer Science 2020-01-17 A. Asadipour , K. Debattista , V. Patel , A. Chalmers

Endoscopic depth estimation is a critical technology for improving the safety and precision of minimally invasive surgery. It has attracted considerable attention from researchers in medical imaging, computer vision, and robotics. Over the…

Computer Vision and Pattern Recognition · Computer Science 2025-10-16 Ke Niu , Zeyun Liu , Xue Feng , Heng Li , Qika Lin , Kaize Shi

Some endoscopic surgeries require a surgeon to hold the endoscope with one hand and the surgical instruments with the other hand to perform the actual surgery with correct vision. Recent technical advances in deep learning as well as in…

Computer Vision and Pattern Recognition · Computer Science 2020-03-16 Sue Min Cho , Young-Gon Kim , Jinhoon Jeong , Ho-jin Lee , Namkug Kim

Robotic skill learning has been increasingly studied but the demonstration collections are more challenging compared to collecting images/videos in computer vision and texts in natural language processing. This paper presents a skill…

Robotics · Computer Science 2023-11-14 Xiangyu Chu , Yunxi Tang , Lam Him Kwok , Yuanpei Cai , Kwok Wai Samuel Au

Flexible endoscopy requires high skills to manipulate both the endoscope and associated instruments. In most robotic flexible endoscopic systems, the endoscope and instruments are controlled separately by two operators, which may result in…

Robotics · Computer Science 2020-07-14 Yanpei Huang , Wenjie Lai , Lin Cao , Jiajun Liu , Xiaoguo Li , Etienne Burdet , Soo Jay Phee

Colonic polyps are well-recognized precursors to colorectal cancer (CRC), typically detected during colonoscopy. However, the variability in appearance, location, and size of these polyps complicates their detection and removal, leading to…

The current generation of surgeons requires extensive training in teleoperation to develop specific dexterous skills, which are independent of medical knowledge. Training curricula progress from manipulation tasks to simulated surgical…

Robotics · Computer Science 2019-07-23 Gustavo D. Gil , Julie M. Walker , Nabil Zemiti , Allison M. Okamura , Philippe Poignet

Neuro-endoscopy is a challenging minimally invasive neurosurgery that requires surgical skills to be acquired using training methods different from the existing apprenticeship model. There are various training systems developed for…

Computer Vision and Pattern Recognition · Computer Science 2020-07-17 Vinkle Srivastav , Britty Baby , Ramandeep Singh , Prem Kalra , Ashish Suri

Pre-training on image-text colonoscopy records offers substantial potential for improving endoscopic image analysis, but faces challenges including non-informative background images, complex medical terminology, and ambiguous multi-lesion…

Computer Vision and Pattern Recognition · Computer Science 2025-05-15 Yili He , Yan Zhu , Peiyao Fu , Ruijie Yang , Tianyi Chen , Zhihua Wang , Quanlin Li , Pinghong Zhou , Xian Yang , Shuo Wang

Colorectal cancer remains one of the deadliest cancers in the world. In recent years computer-aided methods have aimed to enhance cancer screening and improve the quality and availability of colonoscopies by automatizing sub-tasks. One such…

Computer Vision and Pattern Recognition · Computer Science 2023-10-04 Anita Rau , Binod Bhattarai , Lourdes Agapito , Danail Stoyanov

Colonoscopy screening is the gold standard procedure for assessing abnormalities in the colon and rectum, such as ulcers and cancerous polyps. Measuring the abnormal mucosal area and its 3D reconstruction can help quantify the surveyed area…

Computer Vision and Pattern Recognition · Computer Science 2023-12-01 Pedro Esteban Chavarrias Solano , Andrew Bulpitt , Venkataraman Subramanian , Sharib Ali

Robotic surgery represents a major breakthrough in medical interventions, which has revolutionized surgical procedures. However, the high cost and limited accessibility of robotic surgery systems pose significant challenges for training…

Robotics · Computer Science 2026-04-28 Walid Shaker , Mustafa Suphi Erden

Tactile recognition of 3D objects remains a challenging task. Compared to 2D shapes, the complex geometry of 3D surfaces requires richer tactile signals, more dexterous actions, and more advanced encoding techniques. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2023-03-01 Jingxi Xu , Han Lin , Shuran Song , Matei Ciocarlie

Colonoscopy is a standard imaging tool for visualizing the entire gastrointestinal (GI) tract of patients to capture lesion areas. However, it takes the clinicians excessive time to review a large number of images extracted from colonoscopy…

Computer Vision and Pattern Recognition · Computer Science 2021-08-09 Kaiwei Che , Chengwei Ye , Yibing Yao , Nachuan Ma , Ruo Zhang , Jiankun Wang , Max Q. -H. Meng

Colorectal cancer screening through colonoscopy continues to be the dominant global standard, as it allows identifying pre-cancerous or adenomatous lesions and provides the ability to remove them during the procedure itself. Nevertheless,…

Computer Vision and Pattern Recognition · Computer Science 2023-06-08 Netanel Frank , Erez Posner , Emmanuelle Muhlethaler , Adi Zholkover , Moshe Bouhnik

Operational skill learning, inherently physical and reliant on hands-on practice and kinesthetic feedback, has yet to be effectively replicated in large language model (LLM)-supported training. Current LLM training assistants primarily…

Human-Computer Interaction · Computer Science 2025-08-11 Wei Xiang , Ziyue Lei , Haoyuan Che , Fangyuan Ye , Xueting Wu , Lingyun Sun
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