A5054309906- Retinal Imaging and Analysis
- Heavy metals in environment
- Advanced Neural Network Applications
- Retinal Diseases and Treatments
- Water Quality and Pollution Assessment
- Reinforcement Learning in Robotics
- Cancer-related molecular mechanisms research
- Circular RNAs in diseases
- Effects and risks of endocrine disrupting chemicals
- Industrial Vision Systems and Defect Detection
- Urban Stormwater Management Solutions
- Toxic Organic Pollutants Impact
- Environmental Quality and Pollution
- Mercury impact and mitigation studies
- Adversarial Robustness in Machine Learning
- Glaucoma and retinal disorders
- MicroRNA in disease regulation
- Air Quality and Health Impacts
- Optical Coherence Tomography Applications
- Domain Adaptation and Few-Shot Learning
- Image Enhancement Techniques
- Medical Image Segmentation Techniques
- Corneal surgery and disorders
- Atmospheric chemistry and aerosols
- AI in cancer detection
Hainan Normal University
2020-2025
National University of Singapore
2023-2024
Xidian University
2019-2024
Singapore Management University
2024
Nantong Tumor Hospital
2019-2024
Wuhan University
2022-2024
Inner Mongolia University of Science and Technology
2022-2024
Nantong University
2022-2024
Southern University of Science and Technology
2021-2023
Soochow University
2022
Cataracts are the leading cause of vision loss worldwide. Restoration algorithms developed to improve readability cataract fundus images in order increase certainty diagnosis and treatment for patients. Unfortunately, requirement annotation limits application these clinics. This paper proposes a network annotation-freely restore cataractous (ArcNet) so as boost clinical practicability restoration. Annotations unnecessary ArcNet, where high-frequency component is extracted from replace...
The accurate and efficient detection of power lines towers in aerial drone images with complex backgrounds is crucial for the safety grid operations low-altitude flights. In this paper, we propose a new method that enhances deep learning segmentation model UNet algorithm called TLSUNet. We enhance by using lightweight backbone structure to extract features then reconstructing them contextual information features. network model, reduce its parameters computational complexity, adopt...
Pannexin (Panx) plays a crucial role in several cellular processes such as immune cell death, proliferation, invasion, and migration, apoptosis, autophagy. However, the of Panx regulating migration invasion testicular cancer remains to be elucidated. In present study, we determined correlation between Panx-1 channel function I-10 cells. Transwell wound healing assays showed that inhibition by carbenoxolone (CBX) probenecid (PBN) attenuated cells vitro. Moreover, knockdown with short hairpin...
Abstract Background Targeting glutamine metabolism is previously indicated as a potential and attractive strategy for gastric cancer (GC) therapy. However, the underlying mechanisms responsible modification of in GC cells have not been fully elucidated. Accordingly, current study sought to investigate physiological RUNX3-mediated circDYRK1A GC. Methods Firstly, tissues adjacent normal were obtained from 50 patients determine expression tissues. Next, binding affinity among RUNX3, circDYRK1A,...
Deep learning-based state estimation of lithium batteries is widely used in battery management system (BMS) design. However, due to the limitation on-board computing resources, multiple single-state models are more difficult deploy practice. Therefore, this paper proposes a multi-task learning network (MTL) combining multi-layer feature extraction structure with separated expert layers for joint charge (SOC) and energy (SOE) Li-ion batteries. MTL uses extract features, separating task...
Colon cancer is a highly malignant tumor in the digestive system. LEM domain containing 1 (LEMD1) supposed to be survival marker of poor prognosis colon cancer. We aimed explore role and mechanism LEMD1 progression. GEPIA database analyzed expression tissues patients. cells was tested by RT-qPCR western blotting. Proliferation estimated CCK-8 colony formation assays. Transwell wound healing assays were used appraise cell invasion migration. Meanwhile, tube evaluate angiogenesis. The possible...
Cataract presents the leading cause of preventable blindness in world. The degraded image quality cataract fundus increases risk misdiagnosis and uncertainty preoperative planning. Unfortunately, absence annotated data, which should consist images corresponding clear ones from same patients after surgery, limits development restoration algorithms for images. In this paper, we propose an end-to-end unsupervised method to enhance clinical observation fundus. proposed begins with constructing...
Long noncoding RNAs regulate various biological effects in the progression of cancers. We found that expression SNHG1 was significantly up-regulated bladder cancer after analyzing data obtained from TCGA and GEO. However, potential role remains to be investigated cancer. It validated overexpressed tissues detected by qRT-PCR FISH, which also associated with poor clinical outcome. Additionally, verified facilitate tumor proliferation repress apoptosis vitro vivo.SNHG1 could act as a...
Cholangiocarcinoma is a malignant tumor originating from biliary epithelial cells. The suppressor gene tropomyosin 1 (TPM1) downregulated in several human cancer types; however, its expression status cholangiocarcinoma still unknown. We elucidated TPM1 and regulation mechanism cholangiocarcinoma. Real-time (RT)-PCR, western blot analysis immunohistochemistry were performed to examine levels cell lines tissues. Cell treated with lentiviral vector containing the miR-21 knockdown inhibitors of...
The potential risks of x-ray to patients have transferred the public's attention from normal dose CT (NDCT) low-dose (LDCT). However, simply lowering radiation system will significantly degrade quality images such as noise and artifacts, which compromises diagnostic performance. Hence, various methods been proposed solve this problem over past decades. Although these achieved impressive results, they also suffer a drawback smoothing image details after denoising, makes it difficult for...