A5100695380- Gastric Cancer Management and Outcomes
- Colorectal Cancer Screening and Detection
- Esophageal Cancer Research and Treatment
- Retinal Imaging and Analysis
- Helicobacter pylori-related gastroenterology studies
- Glaucoma and retinal disorders
- Advanced Fiber Optic Sensors
- Photonic and Optical Devices
- Liver Disease Diagnosis and Treatment
- PI3K/AKT/mTOR signaling in cancer
- Radiomics and Machine Learning in Medical Imaging
- Inflammatory mediators and NSAID effects
- Gastrointestinal Tumor Research and Treatment
- Semiconductor Lasers and Optical Devices
- Lung Cancer Diagnosis and Treatment
- COVID-19 Clinical Research Studies
- Retinal and Optic Conditions
- Esophageal and GI Pathology
- Gastrointestinal Bleeding Diagnosis and Treatment
- Cancer-related gene regulation
- Gallbladder and Bile Duct Disorders
- NF-κB Signaling Pathways
- Cancer Research and Treatments
- Pancreatic and Hepatic Oncology Research
- Cell Adhesion Molecules Research
Wuhan University
2016-2025
Renmin Hospital of Wuhan University
2016-2025
Wuhan Prevention and Treatment Center for Occupational Diseases
2024-2025
Wenzhou Medical University
2025
Cell Technology (China)
2024
Oil and Gas Center
2023
Shaanxi Provincial Hospital of Traditional Chinese Medicine
2022
Boston Scientific (United States)
2016-2018
Sichuan University
2017
West China Hospital of Sichuan University
2017
Computed tomography (CT) is the preferred imaging method for diagnosing 2019 novel coronavirus (COVID19) pneumonia. We aimed to construct a system based on deep learning detecting COVID-19 pneumonia high resolution CT. For model development and validation, 46,096 anonymous images from 106 admitted patients, including 51 patients of laboratory confirmed 55 control other diseases in Renmin Hospital Wuhan University were retrospectively collected. Twenty-seven prospective consecutive collected...
Abstract Background Computed tomography (CT) is the preferred imaging method for diagnosing 2019 novel coronavirus (COVID19) pneumonia. Our research aimed to construct a system based on deep learning detecting COVID-19 pneumonia high resolution CT, relieve working pressure of radiologists and contribute control epidemic. Methods For model development validation, 46,096 anonymous images from 106 admitted patients, including 51 patients laboratory confirmed 55 other diseases in Renmin Hospital...
Abstract Background Gastric cancer is the third most lethal malignancy worldwide. A novel deep convolution neural network (DCNN) to perform visual tasks has been recently developed. The aim of this study was build a system using DCNN detect early gastric (EGC) without blind spots during esophagogastroduodenoscopy (EGD). Methods 3170 and 5981 benign images were collected train EGC. total 24549 from different parts stomach monitor spots. Class activation maps developed automatically cover...
The optic disk (OD) center and margin are typically requisite landmarks in establishing a frame of reference for classifying retinal nerve pathology. Reliable efficient OD localization segmentation important tasks automatic eye disease screening. This paper presents new, fast, fully algorithm developed First, location candidates identified using template matching. is designed to adapt different image resolutions. Then, vessel characteristics (patterns) on the used determine location....
Abstract Background Accurate identification of the differentiation status and margins for early gastric cancer (EGC) is critical determining surgical strategy achieving curative resection in EGC patients. The aim this study was to develop a real-time system accurately identify delineate on magnifying narrow-band imaging (ME-NBI) endoscopy. Methods 2217 images from 145 patients 1870 139 were retrospectively collected train test first convolutional neural network (CNN1) status. performance...
Endoscopy is the primary modality for detecting asymptomatic esophageal squamous cell carcinoma (ESCC) and precancerous lesions. Improving detection rate remains challenging. We developed a system based on deep convolutional neural networks (CNNs) cancer lesions [high-risk (HrELs)] validated its efficacy in improving HrEL clinical practice (trial registration ChiCTR2100044126 at www.chictr.org.cn ). Between April 2021 March 2022, 3117 patients ≥50 years old were consecutively recruited from...
Pathologies that occur on or near the fovea, such as clinically significant macular edema (CSME), represent high risk for vision loss. The presence of exudates, lipid residues serous leakage from damaged capillaries, has been associated with CSME, in particular if they are located one optic disc-diameter away fovea. In this paper, we present an automatic system to detect exudates macula. Our approach uses optimal thresholding instantaneous amplitude (IA) components extracted multiple...
The aim of this study is to clarify the clinical implication and functional role structure specific recognition protein 1 (SSRP1) in hepatocellular carcinoma (HCC) explore underlying mechanism aberrant high expression SSRP1 cancers. In present investigation, we validated that was upregulated HCC samples. We also demonstrated its upregulation associated with several clinicopathologic features such as higher serum AFP level, larger tumor size, T stage patients; indicated shorter overall...
<i>Objective: </i>To identify the role of RelA/nuclear factor-ĸB, an important inhibitor apoptosis in colorectal tumorigenesis, we examined expression RelA normal mucosa (n = 10), adenomas 30) and adenocarcinomas 30). Furthermore, association with tumor cell apoptosis, proliferation, Bcl-2/Bcl-x<sub>L </sub>was also studied. <i>Methods: </i>Paraffin sections were stained monoclonal antibodies directed against RelA, Bcl-2, Bcl-x<sub>L</sub>,...
Abstract Gastric cancer (GC) is one of the most common malignancies and its prognosis extremely poor. This study identifies a novel oncogene, microfibrillar-associated protein 2 (MFAP2) in GC. With integrative reanalysis transcriptomic data, we found MFAP2 as GC prognosis-related gene. And aberrant expression was explored samples. Subsequent experiments indicated that silencing exogenous could affect motility cells. The inhibition be rescued by another FAK activator, fibronectin. process...
With the digestive endoscopic tunnel technique (DETT), many diseases that previously would have been treated by surgery are now endoscopically curable establishing a submucosal between mucosa and muscularis propria (MP). Through tunnel, diagnosis or treatment is performed for lesions in mucosa, MP, even outside gastrointestinal (GI) tract. At present, application range covers following: (1) Treatment of originating from mucosal layer,
Detailed evaluation of bile duct (BD) is main focus during endoscopic ultrasound (EUS). The aim this study was to develop a system for EUS BD scanning augmentation.The divided into 4 stations. We developed station classification model and segmentation with 10681 images 2529 images, respectively. 1704 667 were applied internal validation. For video validation, 264 517 videos clips used. man-machine contest, an independent data set contained 120 applied. 799 from other two hospitals used...
White light endoscopy is the most pivotal tool for detecting early gastric neoplasms. Previous artificial intelligence (AI) systems were primarily unexplainable, affecting their clinical credibility and acceptability. We aimed to develop an explainable AI named ENDOANGEL-ED (explainable diagnosis) solve this problem. A total of 4482 images 296 videos with focal lesions from 3279 patients eight hospitals used training, validating, testing ENDOANGEL-ED. traditional sole deep learning (DL)...
Abstract The two year outcome of extremely low birth-weight (ELBW) infants (birth weight 500 to 999 g), born in the state Victoria over distinct eras, 1979-80 and 1985-7, were compared. In era, 25.4% ELBW survived 2 years age; only 12.5% liveborn with no neurological disabilities. outside level III centres significantly disadvantaged both mortality morbidity. By survival rate rose from 37.9%. proportion who free disabilities increased 26.2%. Despite improved survival, absolute number old...