A5101321904- Radiomics and Machine Learning in Medical Imaging
- Machine Fault Diagnosis Techniques
- Metal and Thin Film Mechanics
- Meteorological Phenomena and Simulations
- Advanced Sensor Technologies Research
- Fault Detection and Control Systems
- Global Cancer Incidence and Screening
- Atomic and Subatomic Physics Research
- Engineering Diagnostics and Reliability
- Renal cell carcinoma treatment
- Ovarian cancer diagnosis and treatment
- Thyroid Cancer Diagnosis and Treatment
- Radiation Detection and Scintillator Technologies
- Analytical Chemistry and Sensors
- AI in cancer detection
- Climate Change and Health Impacts
- Climate variability and models
- Advanced X-ray and CT Imaging
- Scientific Research Methodologies and Applications
- Thyroid and Parathyroid Surgery
- Medical Imaging Techniques and Applications
Tsinghua University
2025
Shanghai First People's Hospital
2023-2024
Beijing University of Technology
2024
Shanghai Jiao Tong University
2023-2024
Shantou University
2023
University of Connecticut
2023
Abstract Portable X‐ray imaging technology plays a crucial role in enabling prompt diagnosis and treatment outdoors. Nevertheless, the persistent challenge of external optical signal crosstalk poses significant bottleneck to its advancement. Herein, solution utilizing near‐infrared (NIR) light effectively mitigate is proposed, thereby demonstrating feasibility portable even under ambient light. A series rare earth ions doped Cs 2 Ag x Na 1‐x In y Bi 1‐y Cl 6 halide scintillators reported,...
To investigate the feasibility and efficiency of automatic segmentation contrast-enhanced ultrasound (CEUS) images in renal tumors by convolutional neural network (CNN) based models their further application radiomic analysis.From 94 pathologically confirmed tumor cases, 3355 CEUS were extracted randomly divided into training set (3020 images) test (335 images). According to histological subtypes cell carcinoma, was split clear carcinoma (ccRCC) (225 images), angiomyolipoma (AML) (77 other...
The objective of this study was to establish a multimodality ultrasound prediction model based on conventional (Con-US), shear wave elastography (SWE), and strain (SE) contrast-enhanced (CEUS) explore their diagnostic values for thyroid nodules ≤ 10 mm.
Objective In physical health examinations, breast sonography is a commonly used imaging method, but it can lead to repeated exams and unnecessary biopsy due discrepancies among radiologists centers. This study explores the role of off-the-shelf artificial intelligence (AI) software in assisting classify incidentally found masses two Methods Female patients undergoing ultrasound examinations with discovered were categorized according 5 th edition Breast Imaging Reporting Data System...
Abstract Climate change detection and attribution have played a central role in establishing the influence of human activities on climate. Optimal fingerprinting, linear regression with errors variables (EIVs), has been widely used analyses climate change. The method regresses observed expected responses to external forcings, which are measured EIVs. reliability depends critically proper point interval estimations coefficients. confidence intervals constructed from prevailing method, total...