A5102219278- Pelvic and Acetabular Injuries
- Hip disorders and treatments
- Pregnancy-related medical research
- Urological Disorders and Treatments
- Radiomics and Machine Learning in Medical Imaging
- Traditional Chinese Medicine Studies
- Face recognition and analysis
- Image Retrieval and Classification Techniques
- Traditional Chinese Medicine Analysis
- Urologic and reproductive health conditions
- Fetal and Pediatric Neurological Disorders
- Medical Imaging and Analysis
- Quality and Safety in Healthcare
- Handwritten Text Recognition Techniques
- Cardiac Imaging and Diagnostics
- Nitric Oxide and Endothelin Effects
- Medical Image Segmentation Techniques
- Smart Systems and Machine Learning
- Image Processing and 3D Reconstruction
- Hip and Femur Fractures
- Traffic and Road Safety
- Maternal and Perinatal Health Interventions
- Vehicle License Plate Recognition
- Statistical Methods in Epidemiology
- Maternal and fetal healthcare
Jinan University
2022-2024
Tianjin Conservatory of Music
2002
Abstract During the process of labor, intrapartum transperineal ultrasound examination serves as a valuable tool, allowing direct observation relative positional relationship between pubic symphysis and fetal head (PSFH). Accurate assessment descent prediction most suitable mode delivery heavily rely on this relationship. However, achieving an objective quantitative interpretation images necessitates precise PSFH segmentation (PSFHS), task that is both time-consuming demanding. Integrating...
Abstract The accurate selection of the ultrasound plane for fetal head and pubic symphysis is critical precisely measuring angle progression. traditional method depends heavily on sonographers manually selecting imaging plane. This process not only time-intensive laborious but also prone to variability based clinicians’ expertise. Consequently, there a significant need an automated driven by artificial intelligence. To enhance efficiency accuracy identifying symphysis-fetal standard...
Accurate segmentation of the fetal head and pubic symphysis in intrapartum ultrasound images measurement angle progression (AoP) are critical to both outcome prediction complication prevention delivery. However, due poor quality perinatal imaging with blurred target boundaries relatively small public symphysis, fully automated accurate remains challenging. In this paper, we propse a dual-path boundary-guided residual network (DBRN), which is novel approach tackle these challenges. The model...
Cardiac magnetic resonance imaging (MRI) segmentation task refers to the accurate of ventricle and myocardium, which is a prerequisite for evaluating soundness cardiac function. With development deep learning in medical imaging, more heart methods based on have been proposed. Due fuzzy boundary uneven intensity distribution MRI, some existing do not make full use multi-scale characteristic information problem ambiguity between classes. In this paper, we propose dilated convolution network...
Complete electronic health records (EHRs) are not often available, because information barriers caused by differences in the level of informatization and type EHR system. Therefore, we aimed to develop a deep learning system [deep for structured recognition text images from unstructured paper-based medical reports (DeepSSR)] (UPBMRs) help physicians solve data-sharing problem.
Transperineal ultrasound imaging in the mid-sagittal plane can potentially enable objective quantification of level fetal head descent birth canal by measuring angle progression (AoP). Specifically, AoP is defined as between a straight line drawn along longitudinal axis pubic symphysis and from inferior edge to leading head. However, process outlining contours on images complex tedious, often resulting misjudgments physicians. To address this, we propose head-pubic segmentation network...
To study the radiation emission problem of medical electrical equipment, this paper expounded principle test and analyzed common disturbance sources equipment. Finally, some rectification countermeasures were summarized to switching power supply, crystal oscillator motor these three sources, which provided references for related technical personnel.