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The Segment Anything Model (SAM) is a powerful foundation model that has revolutionised image segmentation. To apply SAM to surgical instrument segmentation, a common approach is to locate precise points or boxes of instruments and then use…

Computer Vision and Pattern Recognition · Computer Science 2023-12-22 Wenxi Yue , Jing Zhang , Kun Hu , Yong Xia , Jiebo Luo , Zhiyong Wang

Real-time tool segmentation is an essential component in computer-assisted surgical systems. We propose a novel real-time automatic method based on Fully Convolutional Networks (FCN) and optical flow tracking. Our method exploits the…

This paper presents a cutting-edge robotic inspection solution designed to automate quality control in automotive manufacturing. The system integrates a pair of collaborative robots, each equipped with a high-resolution camera-based vision…

Surgical instrument pose estimation provides crucial information for promising applications, including autonomous robotic surgery, skill assessment, and standardization of surgical workflow. However, this task remains highly challenging due…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Daiyun Shen , Shuojue Yang , Chang Han Low , Qian Li , Mengya Xu , Qi Dou , Yueming Jin

Background: Artificial Intelligence (AI) clinical decision support (CDS) systems have the potential to augment surgical risk assessments, but successful adoption depends on an understanding of end-user needs and current workflows. This…

Human-Computer Interaction · Computer Science 2025-04-04 Andrea E Davidson , Jessica M Ray , Yulia Levites Strekalova , Parisa Rashidi , Azra Bihorac

Over the past few years, surgical data science has attracted substantial interest from the machine learning (ML) community. Various studies have demonstrated the efficacy of emerging ML techniques in analysing surgical data, particularly…

Image and Video Processing · Electrical Eng. & Systems 2023-07-06 Adnan Qayyum , Hassan Ali , Massimo Caputo , Hunaid Vohra , Taofeek Akinosho , Sofiat Abioye , Ilhem Berrou , Paweł Capik , Junaid Qadir , Muhammad Bilal

Instructional cataract surgery videos are crucial for ophthalmologists and trainees to observe surgical details repeatedly. This paper presents a deep learning model for real-time identification of surgical instruments in these videos,…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Sanya Sinha , Michal Balazia , Francois Bremond

Software testing is a crucial phase in the software development lifecycle (SDLC), ensuring that products meet necessary functional, performance, and quality benchmarks before release. Despite advancements in automation, traditional methods…

Software Engineering · Computer Science 2026-03-10 Mohammad Baqar , Rajat Khanda

In the past utilities relied on in-field inspections to identify asset defects. Recently, utilities have started using drone-based inspections to enhance the field-inspection process. We consider a vast repository of drone images, providing…

In low- and middle-income countries (LMICs), a significant proportion of medical diagnostic equipment remains underutilized or non-functional due to a lack of timely maintenance, limited access to technical expertise, and minimal support…

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

Robot-assisted surgery is an emerging technology which has undergone rapid growth with the development of robotics and imaging systems. Innovations in vision, haptics and accurate movements of robot arms have enabled surgeons to perform…

Computer Vision and Pattern Recognition · Computer Science 2020-10-01 Mobarakol Islam , Daniel A. Atputharuban , Ravikiran Ramesh , Hongliang Ren

Insufficient steel quality in mass production can cause extremely costly damage to tooling, production downtimes and low quality products. Automatic, fast and cheap strategies to estimate essential material properties for quality control,…

Machine Learning · Computer Science 2022-06-14 Michiel Straat , Kevin Koster , Nick Goet , Kerstin Bunte

Automated defect inspection is critical for effective and efficient maintenance, repair, and operations in advanced manufacturing. On the other hand, automated defect inspection is often constrained by the lack of defect samples, especially…

Computer Vision and Pattern Recognition · Computer Science 2021-03-30 Gongjie Zhang , Kaiwen Cui , Tzu-Yi Hung , Shijian Lu

In the context of Industry 4.0, effective monitoring of multiple targets and states during assembly processes is crucial, particularly when constrained to using only visual sensors. Traditional methods often rely on either multiple sensor…

Computer Vision and Pattern Recognition · Computer Science 2025-07-24 Xingjian Zhang , Yutong Duan , Zaishu Chen

Microfluidic devices offer numerous advantages in medical applications, including the capture of single cells in microwell-based platforms for genomic analysis. As the cost of sequencing decreases, the demand for high-throughput single-cell…

Computational Engineering, Finance, and Science · Computer Science 2024-09-13 Xueying Zhao , Yan Chen , Yuefu Jiang , Amie Radenbaugh , Jamie Moskwa , Devon Jensen

In clinical diagnosis, diagnostic images that are obtained from the scanning devices serve as preliminary evidence for further investigation in the process of delivering quality healthcare. However, often the medical image may contain fault…

Image and Video Processing · Electrical Eng. & Systems 2022-01-19 Karthik K , Sowmya Kamath S

The quality of industrial components is critical to the production of special equipment such as robots. Defect inspection of these components is an efficient way to ensure quality. In this paper, we propose a hybrid network, SSD-Faster Net,…

Computer Vision and Pattern Recognition · Computer Science 2022-07-05 Jingyao Wang , Naigong Yu

Nondestructive evaluation (NDE) techniques are widely used to detect flaws in critical components of systems like aircraft engines, nuclear power plants and oil pipelines in order to prevent catastrophic events. Many modern NDE systems…

Methodology · Statistics 2017-02-02 Ye Tian , Ranjan Maitra , William Q. Meeker , Stephen D. Holland

With the continuous advancement of industrial automation, product quality inspection has become increasingly important in the manufacturing process. Traditional inspection methods, which often rely on manual checks or simple machine vision…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Zhen Qi , Liwei Ding , Xiangtian Li , Jiacheng Hu , Bin Lyu , Ao Xiang