A5006625304- Brain Tumor Detection and Classification
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neural Network Applications
- Acute Ischemic Stroke Management
- Advanced X-ray and CT Imaging
- Neonatal and fetal brain pathology
Huazhong University of Science and Technology
2022-2023
Tongji Hospital
2022-2023
To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes.Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 11.5 years) were randomly divided into the training (n = 311) validation cohorts 211). According modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized good (mRS ≤ 2) poor > 2); 1310 radiomics extracted diffusion-weighted imaging apparent...
Heterogeneous MRI manifestations restrict the efficiency and consistency of neuroradiologists in diagnosing hypoxic-ischemic encephalopathy (HIE) due to complex injury patterns. This study aimed develop validate an intelligent HIE identification model (termed as DLCRN, deep learning clinical-radiomics nomogram) based on conventional structural clinical characteristics.In this retrospective case-control study, full-term neonates with healthy controls were collected two different medical...