A5090898392- Remote-Sensing Image Classification
- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Image and Signal Denoising Methods
- Advanced Image Fusion Techniques
- Musculoskeletal pain and rehabilitation
- Medical Imaging and Analysis
- Non-Destructive Testing Techniques
- Radiation Dose and Imaging
- Advanced Radiotherapy Techniques
- Genomic variations and chromosomal abnormalities
- ECG Monitoring and Analysis
- Industrial Vision Systems and Defect Detection
- Algorithms and Data Compression
- Breast Cancer Treatment Studies
- Welding Techniques and Residual Stresses
- Non-Invasive Vital Sign Monitoring
- Phonocardiography and Auscultation Techniques
- Breast Lesions and Carcinomas
- Radiomics and Machine Learning in Medical Imaging
- Spine and Intervertebral Disc Pathology
- Gene expression and cancer classification
Guangzhou Medical University
2022-2024
Xi'an University of Technology
2024
Abstract Purpose. The dose hotspot areas in hypofractionated whole-breast irradiation (WBI) greatly increase the risk of acute skin toxicity because anatomical peculiarities breast. In this study, we presented several novel planning strategies that integrate multiple sub-planning target volumes (sub-PTVs), field secondary placement, and RapidPlan models for right-sided WBI. Methods. A total 35 cases WBI with a 42.5 Gy PTVs using tangential intensity-modulated radiotherapy (IMRT) were...
Automated measurement of spine indices on axial magnetic resonance (MR) images plays a significant role in lumbar spinal stenosis diagnosis. Existing direct approaches fail to explicitly focus the task-specific region or feature channel with additional information for guiding. We aim achieve accurate by introducing guidance segmentation task.In this paper, we propose segmentation-guided regression network (SGRNet) automated measurement. SGRNet consists path generating prediction and...
Computed Tomography (CT) is one of the most used imaging modality in clinics. However, associated high radiation a major concern, and then tradeoff between clinically accepted CT images dose desired. In recent years, inspired by deep learning techniques, various learning-based methods have been developed for low-dose imaging, they potential to improve image quality low CT. Meanwhile, these are trained on datasets with specific geometry, could fail successfully reconstruct from other...
Low-dose computed tomography (CT) is of great potential advantage for disease diagnosis. Usually, paired training datasets are difficult to obtain in clinical routine, which catalyzes the development unsupervised learning techniques improve low-dose CT imaging. Recently, most existing approaches imaging were developed image domain, and only a few have been sinogram challenging task. In this paper, we propose dedicated unpaired technique restoration with novel data-dependent noise-generative...
Structural health monitoring (SHM) is essential for the early detection of infrastructure defects, such as cracks in concrete bridge pier. but often faces challenges efficiency and accuracy complex environments. Although Segment Anything Model (SAM) achieves excellent segmentation performance, its computational demands limit suitability real-time applications on edge devices. To address these challenges, this paper proposes Crack-EdgeSAM, a self-prompting crack system that integrates YOLOv8...
Abstract Cardiac arrest is a fatal and urgent disease in humans. A high‐quality electrocardiogram (ECG) has positive guide to the success of defibrillation resuscitation. However, because artificial motion interference ambient noise, reliable ECG signals can be obtained only during chest compression (CC) pauses. To address this issue, adaptive recursive least squares (RLS) denoising approach proposed. First, porcine are divided into three groups: CC, without both with CC. Then, five Gaussian...
Background: With the rapid development of high-throughput sequencing technology and explosive growth genomic data, storing, transmitting processing massive amounts data has become a new challenge. How to achieve fast lossless compression decompression according characteristics speed up transmission requires research on relevant algorithms. Methods: In this paper, algorithm for sparse asymmetric gene mutations (CA_SAGM) based mutation was proposed. The first sorted row-first basis so that...