A5022487666- Image and Signal Denoising Methods
- Optical measurement and interference techniques
- Fish Ecology and Management Studies
- Water Quality Monitoring and Analysis
- Colorectal Cancer Screening and Detection
- Gaze Tracking and Assistive Technology
- Industrial Vision Systems and Defect Detection
- Advanced Computational Techniques and Applications
- Water Quality Monitoring Technologies
- Advanced Algorithms and Applications
- AI in cancer detection
- Advanced Measurement and Metrology Techniques
- Remote Sensing and LiDAR Applications
- Optical Systems and Laser Technology
- Medical Image Segmentation Techniques
- Surface Roughness and Optical Measurements
- Cervical Cancer and HPV Research
- Remote Sensing and Land Use
University of Shanghai for Science and Technology
2024-2025
To address the critical challenge of pupil segmentation accuracy in medical image analysis, this paper proposes an innovative method based on enhanced TransUNet deep neural network. The proposed architecture introduces three key improvements: a novel multi-kernel self-selective attention mechanism that optimizes local feature extraction through weighted fusion different convolution modules; modified cross-attention Transformer enables efficient parallel processing spatial information both...
Smart fish farming faces critical challenges in achieving comprehensive automation, real-time decision-making, and adaptability to diverse environmental conditions multi-species aquaculture. This study presents a novel Internet of Things (IoT)-driven intelligent decision-making system that dynamically monitors optimizes water quality parameters enhance survival rates across various regions species setups. The integrates advanced sensors connected an ESP32 microcontroller, continuously...
Vaginal intraepithelial neoplasia (VAIN), linked to HPV infection, is a condition that often overlooked during colposcopy, especially in the vaginal vault area, as clinicians tend focus more on cervical lesions. This oversight can lead missed or delayed diagnosis and treatment for patients with VAIN. Timely accurate classification of VAIN plays crucial role evaluation lesions formulation effective diagnostic approaches. The challenge high similarity between different classes low variability...
Image signal degradation of computational ghost imaging is an important issue in atmospheric turbulence, especially for the images laboratory safety monitoring. However, relevant research under non-Kolmogorov turbulence model has been rarely reported. To address this issue, we proposed efficient image processing and transmission scheme tailored low-sampling conditions to enhance denoising applications like educational Our approach employed enhanced by a modified sequence on Hadamard...