- Ferroptosis and cancer prognosis
- Prenatal Screening and Diagnostics
- MicroRNA in disease regulation
- Circular RNAs in diseases
- Lung Cancer Diagnosis and Treatment
- Pregnancy and preeclampsia studies
- Cerebrovascular and Carotid Artery Diseases
- Genetic factors in colorectal cancer
- Cancer Genomics and Diagnostics
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Moyamoya disease diagnosis and treatment
- Parvovirus B19 Infection Studies
- Intracranial Aneurysms: Treatment and Complications
Hunan Normal University
2023
Hunan Provincial People's Hospital
2023
Fujian Provincial Cancer Hospital
2022
Fujian Medical University
2022
Fourth Affiliated Hospital of Harbin Medical University
2011-2020
Harbin Medical University
2011-2020
Detecting lung nodules with low-dose computed tomography (CT) can predict the future risk suffering from cancers. However, there are a few studies on CT, and detecting rate is very low at present. In order to accurately detect this article proposes solution based an integrated deep learning algorithm. First, CT images preprocessed via image clipping, normalization, segmentation, positive samples expanded balance number of negative samples. The features candidate nodule learned by using...
This study examines the effectiveness of double-marker analysis for α-fetoprotein (AFP) and β-human chorionic gonadotropin (β-hCG) combined with measurement nuchal fold thickness (NT) in detection Down's syndrome (DS) Mainland Chinese subjects during second trimester prenatal screening.We examined pregnant women a singleton pregnancy between 15 21 weeks gestation who underwent screening DS using AFP β-hCG ultrasound NT. The risk was calculated. A cut-off 1/270 used to define at high-risk DS....