A5090251645- Genetics and Neurodevelopmental Disorders
- Cutaneous Melanoma Detection and Management
- Anomaly Detection Techniques and Applications
- Advanced Image and Video Retrieval Techniques
- Reliability and Maintenance Optimization
- melanin and skin pigmentation
- COVID-19 diagnosis using AI
- Nuclear Receptors and Signaling
- Histone Deacetylase Inhibitors Research
- Safety Systems Engineering in Autonomy
- Video Surveillance and Tracking Methods
- Spanish Linguistics and Language Studies
- Human Pose and Action Recognition
- Child Development and Digital Technology
- Face recognition and analysis
- Chromatin Remodeling and Cancer
- Radiomics and Machine Learning in Medical Imaging
- Autism Spectrum Disorder Research
- Melanoma and MAPK Pathways
- Lung Cancer Diagnosis and Treatment
- Software Reliability and Analysis Research
- Gait Recognition and Analysis
First Hospital of Jilin University
2022-2023
Jilin University
2022-2023
Jinan University
2022
Northeastern University
2017-2020
Melanoma has been reported in many parts of East Asia. However, there are no reports on the epidemiology melanoma Northeast China. In this study, we collected demographic, clinicopathologic, and treatment data patients with treated at First Hospital Jilin University (Changchun, China). A total 229 consecutive nonselective cases were analyzed for incidence clinicopathologic characteristics melanoma. The median overall survival was 53.5 months. 1-year, 3-year, 5-year rates 86.3, 66.4, 44.8%,...
In the research of family service robot, face recognition has become a hotspot because its wide application prospect in home security, human-computer interaction and authentication. The robot must first solve user's identity registration problem before performing task recognition. To make process more natural convenient, this paper combines human audio-visual information, use voice interactive way to collect name image then improved deep neural network transfer learning method quickly...
With the rapid development of deep learning, human behavior recognition has become a focus research. When using various artificial neural network training models to recognize behavior, problem overfitting always been difficult point that hinders improvement accuracy recognition. This paper combines stochastic pooling and Dropout, proposes an improved method based on applies it 3D convolutional for solve overfitting. In phase, Dropout is introduced into layer 3DCNN, unit values are randomly...
Lungs cancer is a fatal disease. However, its early detection increases the chances of survival among patients. An automated nodule system provides second opinion to radiologists in diagnosis. In pulmonary nodules, complex vessel structure similar lung nodules grayscale an important factor that interferes with accurate nodules. this paper, we proposed novel automatic 3D approach computed tomography studies. Firstly, region extracted on basis growing and morphological smoothing. next phase,...
Abstract Objective Basic transcription factor 3 (BTF3) has been shown to exert carcinogenic effects in several types of tumors. But its role melanoma is still unclear. This study aims explore the proliferative effect and molecular mechanisms BTF3 melanoma. Methods We used GFP-labeled BTF3-shRNA lentiviral vectors knock down expression gene cells, then evaluated on cell proliferation, cycle, apoptosis, colony formation cells through vivo vitro experiments. Furthermore, we selected...