A5100348774- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- COVID-19 Clinical Research Studies
- Long-Term Effects of COVID-19
- Ovarian cancer diagnosis and treatment
- Radiation Dose and Imaging
- Respiratory viral infections research
- Advanced Radiotherapy Techniques
- Viral Infections and Outbreaks Research
- Retinal Diseases and Treatments
- Kidney Stones and Urolithiasis Treatments
- Artificial Intelligence in Healthcare and Education
- Immunotherapy and Immune Responses
- Viral Infections and Vectors
- Advanced Biosensing Techniques and Applications
- Testicular diseases and treatments
- Advanced X-ray and CT Imaging
- Fire effects on ecosystems
- Monoclonal and Polyclonal Antibodies Research
- Ophthalmology and Visual Impairment Studies
- SARS-CoV-2 and COVID-19 Research
- Color Science and Applications
- Pediatric Urology and Nephrology Studies
- Image Enhancement Techniques
Affiliated Eye Hospital of Wenzhou Medical College
2022-2025
Wenzhou Medical University
2022-2025
National Clinical Research
2025
Huazhong University of Science and Technology
2018-2025
Tongji Hospital
2018-2025
Capital Medical University
2019
Background Chest CT is used in the diagnosis of coronavirus disease 2019 (COVID-19) and an important complement to reverse-transcription polymerase chain reaction (RT-PCR) tests. Purpose To investigate diagnostic value consistency chest as compared with RT-PCR assay COVID-19. Materials Methods This study included 1014 patients Wuhan, China, who underwent both tests between January 6 February 6, 2020. With use reference standard, performance COVID-19 was assessed. In addition, for multiple...
To analyse the high-resolution computed tomography (HRCT) early imaging features and changing trend of coronavirus disease 2019 (COVID-19) pneumonia.
To develop and validate a deep learning signature for noninvasive prediction of spread through air spaces (STAS) in clinical stage I lung adenocarcinoma compare its predictive performance with conventional clinical-semantic model. A total 513 patients pathologically-confirmed were retrospectively enrolled divided into training cohort (n = 386) independent validation 127) according to different center. Clinicopathological data collected CT semantic features evaluated. Multivariate logistic...
High myopia (HM) is a severe form of refractive error that results in irreversible visual impairment and even blindness. However, the genetic pathological mechanisms underlying this condition are not yet fully understood. From adolescents survey cohort 1015 HM patients, pathogenic missense mutations were identified ZC3H11A gene four patients by whole exome sequencing. This zinc finger stress-induced protein plays significant role regulating nuclear mRNA export. To better understand function...
Background Severe fever with thrombocytopenia syndrome (SFTS) caused by the SFTS virus is an emerging infectious disease that was first identified in rural areas of China 2011. cases often result death due to multiple organ failure. To date, there are still numerous problems remain unresolved SFTS, including unclear pathogenesis, lack specific treatment, and no effective vaccines available. Aim analyze clinical information patients early-stage establish a nomogram for mortality risk. Methods...
To develop a machine-learning-based radiomics signature of ADC for discriminating between benign and malignant testicular masses compare its classification performance with that minimum mean ADC.A total ninety-seven patients 101 histopathologically confirmed (70 malignancies, 31 benignities) were evaluated in this retrospective study. Eight hundred fifty-one features extracted from the preoperative map each lesion. The values are part features. Thirty lesions randomly selected to estimate...
Background: Myopia is the most common visual impairment among Chinese children and adolescents. The purpose of this study to explore key interventions for myopia prevalence, especially early-onset high myopia. Methods: Univariate multivariate analyses were conducted evaluate potential associations between risk factor exposure LASSO was performed prioritize features, selected leading factors used establish assembled simulation model. Finally, two forecasting models constructed predict...
Objectives: To analyze follow-up CTs of patients recovering from COVID-19 in Wuhan, focusing on fibrotic change and its relevant risk factors. Methods: From January 13 to February 27, 2020, 166 hospitalized meeting our criteria were included. The scores patterns CT evaluated. Patients designated as group 1 (with evidence pattern) 2 (without pattern). Multivariate logistic regression was performed explore factors for with COVID-19. Results: obtained 56 days (median, IQR 51–63 days) after...
To retrospectively analyze whether traction bronchiectasis was reversible in coronavirus disease 2019 (COVID-19) survivors with acute respiratory distress syndrome (ARDS), and computed tomography (CT) findings were associated the reversibility, 41 COVID-19 ARDS followed-up for more than 4 months. Demographics, clinical data, all chest CT images collected. The follow-up compared previous scans. There 28 (68%) patients (Group I) 13 (32%) without II) on images. Traction disappeared completely...
Low-dose computerized tomography (LDCT) scanning is of great significance for monitoring and management pulmonary nodules on chest (CT). Nevertheless, the malignant potential these often difficult to detect, especially some smaller LDCT images. Recent advances using state-of-art computer-aided detection (CAD) system have attempted address this problem by identifying small that can be easily missed during clinical practice. CAD used in two reading modes: Concurrent-reader (CR) mode or...
Automatic longitudinal assessment of the disease progression coronavirus 2019 (COVID-19) is invaluable to ensure timely treatment for severe or critical patients. An artificial intelligence system that combines chest computed tomography (CT) and laboratory examinations may provide a more accurate diagnosis. To explore an solution longitudinally assess condition COVID-19 using CT imaging findings, from January 27, 2020, April 3, multiple follow-up inpatients were retrospectively collected....
Abstract The number of gray levels in medical images significantly exceeds the range human eye recognition. In this paper, we propose a series definitions for real-time pseudo-color enhancement based on hue, saturation, and value (HSV) color space. First, window are given as follows: HSV space, means mapping pixel values to value, saturation is set zero. Thereafter, was defined by with maximum value. Moreover, greater than upper bound were converted hues double window. display details shown...