MEDIA-Net: Multi-scale Feature Extraction and DepthwIse Attention Network for Accurate Carotid Artery Segmentation
- Wen-Tao Wang,
- Xiao-Hu Zhou,
- Xiao-Liang Xie,
- Shi-Qi Liu,
- De-Xing Huang,
- Hao Li,
- Tian Yu Xiang,
- Zeng-Guang Hou
Accurate segmentation of the carotid artery in digital subtraction angiography (DSA) imaging is crucial for the diagnosis, prognosis and therapy planning of chronic carotid artery occlusion (CCAO). However, general segmentation methods often ...
Prosthetic Elbow Flexion and Extension Sense rebuilt by Electrotactile Feedback: a Preliminary Study
The elbow position and movement (PM) feedback can help amputees control the prosthetic limbs more flexibly. This study attempts to explore whether electrotactile stimulation can help amputees identify the elbow PM information of prosthesis, due to ...
Accurate Perception of Manipulation Force Makes Vascular Intervention Safer
Manipulation force plays an important role in ensuring the safety of vascular intervention. Due to its extreme slightness, few studies have achieved accurate perception. In this study, a vision-based perception system is developed to obtain the ...
Comparison and discussion of intelligent optimization algorithms based on magnetic localization systems for improving the initial value defects of the L-M Algorithm
Magnetic localization techniques are used in in vivo therapy, drug delivery, and surgical localization widely due to their ability to locate in an unobstructed environment precisely. The Levenberg-Marquardt (L-M) algorithm is one of the most ...
Semi-supervised Learning for Segmentation of Bleeding Regions in Video Capsule Endoscopy
In the realm of modern diagnostic technology, video capsule endoscopy (VCE) is a standout for its high efficacy and non-invasive nature in diagnosing various gastrointestinal (GI) conditions, including obscure bleeding. Importantly, for the ...
Landmark Detection using Transformer Toward Robot-assisted Nasal Airway Intubation
Robot-assisted airway intubation application needs high accuracy in locating targets and organs. Two vital landmarks, nostrils and glottis, can be detected during the intubation to accommodate the stages of nasal intubation. Automated landmark ...
An Electrostatic Locking Mechanism For Tendon-driven Surgical Robot
Variable stiffness surgical robots are capable of adapting to different surgical scenarios, providing enhanced stability during minimally-invasive surgeries. Prevalent methods for achieving variable stiffness, such as lockable mechanisms, granular ...
A Preliminary Study of Task Assessment Methods for Upper Limb Myoelectric Prostheses
To address the problem of limited functional assessment of the wrist and hand of myoelectric prostheses leading to poor rehabilitation outcomes, this paper proposes a multivariate assessment method and builds a prosthetic assessment platform. On ...
An Uncertainty-Adaptive Consistency Training Algorithm for Semi-Supervised Object Counting Networks
Object counting presents a significant challenge for applications demanding high levels of automation. In recently ears, semi-supervised counting methods have been explored to alleviate the burden of data annotation. Despite considerable progress, ...
Vibration based adhesion for underwater robotic operation
In the face of underwater non-magnetic wall environments, the existing underwater adsorption mechanisms are difficult to achieve continuous adhesion without destroying the surface, and the combination of vibration and underwater adsorption will ...
On the Robustness of Muscle Synergies in the Lower Extremity for Human-Exoskeletons Interaction
Accurately recognizing the user's expected action and converting it into a control signal is critical to the effectiveness of exoskeleton control. Inspired by the natural human movement, an alternative method based on muscle synergies has received ...
Static Standing Balance With Musculoskeletal Models Using PPO With Reward Shaping
The ability of the human body to maintain static standing balance is the basis for other lower limb movements. To compensate for the shortcomings of existing musculoskeletal model control methods in standing balance such as few degrees of freedom, ...
Design and Modeling of Multi-vertebrae Continuum Robot for Minimally Invasive Surgery
The constant curvature assumption is normally utilized in kinematic modeling of continuum manipulators due to its simplicity. Nevertheless, in practical applications, factors such as frictional disturbances may cause the curvature of a continuum ...
Real-time pineapple detection for agricultural robot via lightweight YOLOv7-tiny model
Automated detection of pineapple-picking robots in complex agricultural environments is challenging due to uneven lighting and occluded fruit. In this paper, a lightweight pineapple detection model based on the YOLOv7-tiny model is presented for ...
Style transfer-enabled Sim2Real framework for efficient learning of robotic transesophageal echocardiography using simulation
Recently, various machine learning techniques have been proposed to realize automatic ultrasound (US) image analysis for robotic US acquisition tasks. However, obtaining large amounts of real US images for training is usually expensive or even ...
An Unsupervised Domain Adaptation Model Based on Multi-Level Joint Alignment for Multi-Modal Cardiac Image Segmentation
Unsupervised Domain Adaptation has greatly boosted the performance of multi-modal medical segmentation when there are only source domain labels and no labels in the target domain. Many previous work relies on Convolutional Neural Networks for ...
Incorporating dynamic attention gating mechanism and pre-trained embedding for Chinese clinical named entity recognition
Clinical Named Entity Recognition (CNER) serves as a cornerstone in clinical research and healthcare informatics, with its primary goal being the discernment and categorization of clinical terminologies present within Electronic Medical Records (...
Landing Area Prediction in Complex Terrains for Walking-assisted Lower-limb Exoskeleton Robot
With the expansion of application scenarios, the walking-assisted lower-limb exoskeleton robot urgently needs to improve its walking ability in complex terrains. However, due to the lack of environmental understanding ability and decision-making ...
Learning Stable Nonlinear Dynamics and Interactive Force-Aware Variable Impedance Control for Robotic Contact Tasks
This paper presents a novel approach for efficient robot programming in tasks such as polishing and grinding, which addresses the challenges of stability and adaptability in robot motion and control. The approach involves learning movement skills ...
Ethical Decision-making for Autonomous Driving based on LSTM Trajectory Prediction Network
The development of autonomous vehicles has brought a great impact and changes to the transportation industry, offering numerous benefits in terms of safety and efficiency. How ever, one of the key challenges that autonomous driving faces is how to ...
Virtual Reality Based Robot Teleoperation via Human-Scene Interaction
Robot teleoperation gains great success in various situations, including chemical pollution rescue, disaster relief, and long-distance manipulation. In this article, we propose a virtual reality (VR) based robot teleoperation system to achieve ...
Mani-GPT: A Generative Model for Interactive Robotic Manipulation
In real-world scenarios, human dialogues are multi-round and diverse. Furthermore, human instructions can be unclear and human responses are unrestricted. Interactive robots face difficulties in understanding human intents and generating suitable ...