A5102958055- Advanced Image and Video Retrieval Techniques
- Radiation Dose and Imaging
- Advanced X-ray and CT Imaging
- Pancreatic and Hepatic Oncology Research
- Radiomics and Machine Learning in Medical Imaging
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Robotics and Sensor-Based Localization
- Medical Imaging Techniques and Applications
- AI in cancer detection
- Nuclear Physics and Applications
- Advanced Neural Network Applications
- Visual Attention and Saliency Detection
- Gastric Cancer Management and Outcomes
- Cutaneous Melanoma Detection and Management
Southern Medical University
2022-2025
Nanfang Hospital
2022-2025
NetEase (China)
2019
Singapore University of Technology and Design
2018
We investigate the design of an entire mobile imaging system for early detection melanoma. Different from previous work, we focus on smartphone-captured visible light images. Our addresses two major challenges. First, images acquired using a smartphone under loosely-controlled environmental conditions may be subject to various distortions, and this makes melanoma more difficult. Second, processing performed is stringent computation memory constraints. In our propose that optimized run...
Abstract Objectives To investigate the image quality and diagnostic performance with ultra-low dose dual-layer detector spectral CT (DLSCT) by various reconstruction techniques for evaluation of pulmonary nodules. Materials methods Between April 2023 December 2023, patients suspected nodules were prospectively enrolled underwent regular-dose chest (RDCT; 120 kVp/automatic tube current) (ULDCT; 100 kVp/10 mAs) on a DLSCT scanner. ULDCT was reconstructed hybrid iterative (HIR), electron...
Objective To evaluate the image quality and diagnostic performance of pulmonary subsolid nodules on conventional iterative algorithms, virtual monoenergetic images (VMIs), electron density mapping (EDM) using a dual-layer detector spectral CT (DLSCT). Methods This retrospective study recruited 270 patients who underwent DLSCT scan for lung nodule screening or follow-up. All examinations with (pure ground-glass [GGNs] part-solid nodules) were reconstructed hybrid model-based reconstruction,...
The aim of this study is to identify prognostic imaging biomarkers and create a radiogenomics nomogram predict overall survival (OS) in gastric cancer (GC).RNA sequencing data from 407 patients with GC contrast-enhanced computed tomography (CECT) 46 obtained Cancer Genome Atlas (TCGA) Imaging Archive (TCIA) were utilized biomarkers. A total 392 CECT images the Nanfang Hospital database validate based on biomarkers.The features that correlated gene modules (selected by weighted coexpression...
Wide-baseline panoramic images are frequently used in applications like VR and simulations to minimize capturing labor costs storage needs. However, synthesizing novel views from these real time remains a significant challenge, especially due imagery's high resolution inherent distortions. Although existing 3D Gaussian splatting (3DGS) methods can produce photo-realistic under narrow baselines, they often overfit the training when dealing with wide-baseline difficulty learning precise...
Planar object tracking (POT) is the basis of many indoor AR applications. However, there still lacks a systematic way to assess trackers. Existing benchmarks usually focus on accuracy an algorithm without sufficient details about its sensitivity various properties and user behaviors, shedding limited light possible resulting usability issues. We therefore propose comprehensive POT benchmark system understand weakness tracker derive cues for improvement. first identify set objects that are...