A5022743385- Remote Sensing and Land Use
- Stroke Rehabilitation and Recovery
- Cardiovascular Health and Disease Prevention
- Cerebrovascular and Carotid Artery Diseases
- Retinal Imaging and Analysis
- Advanced Computing and Algorithms
- Cerebral Palsy and Movement Disorders
- Telemedicine and Telehealth Implementation
- Virtual Reality Applications and Impacts
- Traumatic Brain Injury Research
- Advanced Sensor and Control Systems
General Hospital of Guangzhou Military Command
2024
Anhui Agricultural University
2024
China Medical University
2023
Virtual reality (VR) technology has been widely used in rehabilitation training because of its immersive, interactive, and imaginative features. A comprehensive bibliometric review is required to help researchers focus on future directions based the new definitions VR technologies rehabilitation, which reveal situations requirements.Herein, we aimed summarize effective research methods for potential innovative approaches by evaluating publications from various countries encourage efficient...
Three-dimensional blood vessel segmentation is an important and challenging task that faces two main difficulties: (1) structures are small, making them hard to capture by the network, edges difficult segment accurately; (2) false positives prone occur due presence of artifacts noise. This paper proposes a novel method called MambaVesselNet. based on state-space model employs selective time series modeling strategy achieve larger receptive field. To better fine vascular accurately edges,...
Aiming at the problem of inaccurate fruit recognition and diameter detection in persimmon inspection process, this research proposes a novel accurate algorithm based on Region-based Convolutional Neural Network (RCNN) Mask instance segmentation algorithm. The strategically targets object interest by integrating cropping, morphological processing, concave point modules into fully connected layer following Region Interest (RoI) feature. Initially, separates front back background cropped target...
Abstract :In addressing the machine recognition and detection of persimmon ripeness in orchards, this study comprehensively considers impact natural light on accuracy, as well precision speed requirements inspection robots. An optimization algorithm based an encoder-driven masked Region-Based Convolutional Neural Network (RCNN) is introduced research. The proposed method aims to accurately detect identify ripeness. It utilizes colour difference meticulously calculate components essential for...
<sec> <title>BACKGROUND</title> Virtual reality (VR) technology has been widely used in rehabilitation training because of its immersive, interactive, and imaginative features. A comprehensive bibliometric review is required to help researchers focus on future directions based the new definitions VR technologies rehabilitation, which reveal situations requirements. </sec> <title>OBJECTIVE</title> Herein, we aimed summarize effective research methods for potential innovative approaches by...