A5102851158- Healthcare and Venom Research
- Blood groups and transfusion
- Advanced Neural Network Applications
- Maternal Mental Health During Pregnancy and Postpartum
- Reproductive Biology and Fertility
- Hematological disorders and diagnostics
- Ovarian function and disorders
- Atrial Fibrillation Management and Outcomes
- Neuroendocrine regulation and behavior
- Child and Adolescent Psychosocial and Emotional Development
- ECG Monitoring and Analysis
- Medical Image Segmentation Techniques
- Brain Tumor Detection and Classification
- Glioma Diagnosis and Treatment
- Cardiac electrophysiology and arrhythmias
Southern Medical University
2023
Guangdong Academy of Medical Sciences
2023
Guangdong Provincial People's Hospital
2023
Anhui Jianzhu University
2022
Heilongjiang University of Chinese Medicine
2021
Arrhythmias can pose a significant threat to cardiac health, potentially leading serious consequences such as stroke, heart failure, arrest, shock, and sudden death. In computer-aided electrocardiogram interpretation systems, the inclusion of certain classes arrhythmias, which we term "aggressive" or "bullying," lead underdiagnosis other "vulnerable" classes. To address this issue, method for arrhythmia diagnosis is proposed in study. This combines morphological-characteristic-based waveform...
Importance: Postpartum depression(PPD) presented as a distinct subset of major depressive disorder triggered by hormonal fluctuations following childbirth. Large observational evidence has been established for the association between depression, neuroticism and postpartum depression. Clarifying robust causality these psychiatric traits PPD may support initiatives shifting diagnosis from post-manifestation to earlier detection.Objective: To dissect causal associations including PPD.Setting...
In the image segmentation task, due to complex distribution and variable shapes of brain tumors, conventional networks have poor accuracy in detecting small objects. Moreover, computation cost full convolutional network is high, it difficult design a deep as well. this paper, we propose new called Attention-based Deep Residual U-Net (ADRU-Net). Res-Net50 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</sup> replaces fully backbone feature...