A5102995492- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Video Surveillance and Tracking Methods
- COVID-19 epidemiological studies
- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Species Distribution and Climate Change
- Remote Sensing and LiDAR Applications
- Mathematical and Theoretical Epidemiology and Ecology Models
- Advanced Vision and Imaging
- Neurobiology and Insect Physiology Research
- Robotics and Sensor-Based Localization
- Toxic Organic Pollutants Impact
- Autonomous Vehicle Technology and Safety
- SARS-CoV-2 and COVID-19 Research
- Radiation Dose and Imaging
- Environmental Toxicology and Ecotoxicology
- Human Pose and Action Recognition
- Anomaly Detection Techniques and Applications
- Plant and animal studies
- Inertial Sensor and Navigation
- Misinformation and Its Impacts
- Advanced Neural Network Applications
- Pesticide and Herbicide Environmental Studies
- Remote-Sensing Image Classification
Chongqing University
2020-2025
Chongqing Cancer Hospital
2020-2025
Auckland University of Technology
2015-2016
University of Auckland
2012-2015
University of Missouri–Kansas City
2010
Hunan University
2010
Abstract Background The prognostic significance of non‐cancer‐related factors, such as body composition, has gained extensive attention in oncological research. Compared with sarcopenia, the adipose tissue for overall survival non‐small cell lung cancer remains unclear. We investigated value skeletal muscle and patients cancer. Methods This retrospective study included 4434 diagnosed between January 2014 December 2016. Cross‐sectional areas subcutaneous fat were measured, pericardial volume...
This paper reports on the design of an object tracker that utilizes a family unscented Kalman filters, one for each tracked object. is more efficient than having filter all moving objects. The performance designed and implemented demonstrated by using simulated movements, also movements in 2D 3D space.
For analysing the behaviour of pedestrians in a scene, it is common practice that pedestrian localization, classification, and tracking are conducted consecutively. The direction pedestrian, being part pose, implies future path. This paper proposes novel Random Decision Forests (RDFs) to simultaneously classify their directions, without adding an extra module for classification module. proposed algorithm trained tested on TUD multi-view Daimler Mono Pedestrian Benchmark data-sets. integrated...
This paper introduces a multigroup COVID-19 model with immunity, in which the total population of each group is partitioned into five compartments, that is, susceptible, exposed, infective, infective treatment and recovered compartment. If basic reproduction number less than or equal to one, infection graph strongly connected, then disease-free equilibrium globally asymptotically stable disease dies out. However, already pandemic state, large one. Hence, order make die out some groups an...
In this paper, we discuss and compare state-of-the-art 3D tracking paradigms for flying insects such as Drosophila melanogaster. If two cameras are employed to estimate the trajectories of these identical appearing objects, calculating stereo temporal correspondences leads an -hard assignment problem. Currently, there different types approaches discussed in literature: probabilistic global correspondence selection approaches. Both have advantages limitations terms accuracy complexity. Here,...
In this paper we study ways to generalise Otsu's binarization method towards reduction of colour levels in images. Colour defines a multi-dimensional property vector at each pixel location, and can be further generalised considering arbitrarily finite-dimensional vectors locations. method, originally already briefly discussed by Otsu for multi-thresholding, was efficiently mapped earlier into segmentation grey-level images recursively applying the original method. We proposing recursive...
This paper addresses 3D trajectory estimation of simulated fruit flies assuming a time-synchronized and calibrated 3-camera system. Because the objects have almost same appearance, both stereo matching temporal tracking are challenging. In this paper, third camera is introduced to verify results based on epipolar geometry projection consistency. reduces ambiguity, fetches missed matches corrects incorrect during tracking. Since affect each other, we process in interaction instead separately....
Malignant tumors have risen to prominence as the leading threat both life and overall health of individuals. Precision medicine relies heavily on precise imaging. Among plethora imaging techniques, advantages dual-energy CT in tumor diagnosis treatment are becoming increasingly pronounced. Accurate evaluation involves various aspects, including differential diagnosis, staging classification, assessment efficacy, prediction prognosis. Notably, has showcased its unique across these domains. In...