A5069654508- Forensic Anthropology and Bioarchaeology Studies
- Dental Radiography and Imaging
- Medical Imaging and Analysis
- Video Surveillance and Tracking Methods
- Spine and Intervertebral Disc Pathology
- Sentiment Analysis and Opinion Mining
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Visual Attention and Saliency Detection
- Autopsy Techniques and Outcomes
- Brain Tumor Detection and Classification
- Birth, Development, and Health
- Image Enhancement Techniques
- Medical Malpractice and Liability Issues
- Advanced Computing and Algorithms
- Advanced Neural Network Applications
- COVID-19 diagnosis using AI
Guangdong University of Technology
2023-2024
Xiangtan University
2024
Guangzhou University
2023
West China Medical Center of Sichuan University
2019-2021
With the advent of deep learning, convolution neural networks (CNN) based object detection plays a critical role in fields such as autonomous driving. Unlike normal-lit scenario, dark environment can be challenging for due to low lighting and noise. To improve low-light conditions, we introduce novel Dark Transformation-Equivariant (DTE) algorithm explore feature consistency between domains. Specifically, on one hand, construct transformation simulate poor conditions by darkening regular...
Objective To study the change trend, distribution characteristics and causes of medical malpractices in 18 years, through retrospective analysis 1 900 cases malpractices, order to provide guidance for precaution treatment malpractices. Methods A thousand nine hundred malpractice that were accepted by Hunan Xiangya Judical Identification Center from 2000 2017 collected. Statistical on caseloads, clients, department distributions, levels hospital etc conducted. Results The number commissioned...
Objective The morphological data of the second thoracic vertebra and third lumbar were measured by computerized tomography （CT）. sex differences analyzed discrimination equation was obtained. Methods 274 adults （203 cases from experimental group 69 validation group） central China collected. Four linear （maximum transverse length vertebral body, maximum longitudinal foramen, foramen）, one angle （angle between spinous processes） two area （vertebral foramen area, total cross-sectional body）...
Abstract Objective. Due to non-invasive imaging and the multimodality of magnetic resonance (MRI) images, MRI-based multi-modal brain tumor segmentation (MBTS) studies have attracted more attention in recent years. With great success convolutional neural networks various computer vision tasks, lots MBTS models been proposed address technical challenges MBTS. However, problem limited data collection usually exists making existing typically difficulty fully exploring MRI images mine...
Objective To discuss a new coding method for individual identification based on oral panoramic tomography, analyze the diversity of different modules in nonhomologous images and consistency matching rate indexes homologous images, evaluate application value identification. Methods The tomography 1 000 patients with permanent teeth were collected retrospectively. Each patient had two taken at times （called Early database Late according to chronological order）. image was coded designed method....