A5102818016- Advanced Neural Network Applications
- Hydrocarbon exploration and reservoir analysis
- COVID-19 diagnosis using AI
- Geological and Geophysical Studies
- Geological Studies and Exploration
- AI in cancer detection
- Software Engineering Techniques and Practices
- Domain Adaptation and Few-Shot Learning
- Pancreatic and Hepatic Oncology Research
- Methane Hydrates and Related Phenomena
- Spacecraft Design and Technology
- Geochemistry and Geochronology of Asian Mineral Deposits
- Facial Rejuvenation and Surgery Techniques
- Medical Image Segmentation Techniques
- Botulinum Toxin and Related Neurological Disorders
- Knowledge Management and Sharing
- Team Dynamics and Performance
- Grey System Theory Applications
- Retinal Imaging and Analysis
Zhejiang University
2002-2024
Xiaomi (China)
2003
Purpose: To propose a novel approach for automated measurements of margin reflex distance (MRD) using digital image analysis and to evaluate the agreement between manual MRD.Materials Methods: This observational study included 132 eyes 66 volunteers referred an oculoplastic clinic blepharoptosis. Preoperative facial photographs participants were taken. MRD1 MRD2 measured manually by senior surgeon automatically our image-based algorithm. Correlation analyses Bland–Altman performed two...
The effect of the amount task-relevant information on shared mental models in computer-mediated and face-to-face settings was examined. A 3 × 2 factorial design combining with communication modes administered through a simulated experiment. Results showed that effects formation were discrepant. In setting, sharedness increased as increased; declined increased. reversed results under two extend theory into more contingent facets. Theoretical interpretations limitations are discussed.
Segmentation of pancreatic tumors on CT images is essential for the diagnosis and treatment cancer. However, low contrast between pancreas tumor, as well variable tumor shape position, makes segmentation challenging. To solve problem, we propose a Position Prior Attention Network (PPANet) with pseudo generation module (PSGM) position prior attention (PPAM). PSGM PPAM maps to latent space generate map supervises location classification. The proposed method evaluated patient data collected...
With the development of radiology and computer technology, diagnosis by medical imaging is heading toward precision automation. Due to complex anatomy around pancreatic tissue high demands for clinical experience, assisted pancreas segmentation system will greatly promote efficiency. However, existing model suffers from poor generalization among images multiple hospitals. In this paper, we propose an end-to-end data-adaptive tackle problems lack annotations generalizability. The employs...
Abstract Through an integrated study of Mesozoic and Palaeozoic petroleum geology in southern China a summing‐up the results exploration, authors tentatively put forward set methods studying systems modified residual basins or superposed basins. Its core idea is to emphasis on dynamic evolution systems. The tempo‐spatial evolution, hydrocarbon‐generating processes intensities amounts resources different geological stages chief source rocks are mainly deduced backward by 3‐D basin modelling....
Computer-aided automatic pancreas segmentation is essential for early diagnosis and treatment of pancreatic diseases. However, the annotation images requires professional doctors considerable expenditure. Due to imaging differences among various institution population, scanning devices, protocols, so on, significant degradation in performance model inference results prone occur when models trained with domain-specific (usually institution-specific) datasets are directly applied new (other...
Wordle Is a popular word game daily provided by the New York Times. In this paper, we make further data analysis on using time-series model. First, time series model was built to predict and test results, correlation of properties with degree difficulty analyzed. Second, build multiple multivariate regression models, take percentages 1,2,3,4,5,6, X as output variables, find relationship between attributes percentage each attempt predictions. Finally, words were classified based extracted...