Learn More
Automation of liver positron emission tomography (PET) image segmentation is proposed in this paper. A new active contour model (ACM), called Poisson Gradient Vector Flow (PGVF), with genetic algorithm (GA) constructs a scheme to automatically find the contour of liver in the PET images. PET is widely used for the clinical purpose, but image quality of PET(More)
The main purpose of this study is to present a novel personal authentication approach that uses the electrocardiogram (ECG) signal. Because the ECG signal varies from person to person, it can be used as a new biometric for individual verification. The discrete wavelet transform was applied for extracting features. These wavelet coefficients derived from(More)
Keywords: Credit rating KMV model Rough set theory Random forests Distance to default a b s t r a c t In current credit ratings models, various accounting-based information are usually selected as prediction variables, based on historical information rather than the market's assessment for future. In the study, we propose credit rating prediction model(More)
A multi-threshold level set model for image segmentations is presented in the paper. The multi-threshold level set formulation uses a speed function for stopping the locations of the active contours. The speed function with multiple thresholds is designed for detecting boundaries of multiple regions of interest (ROI) in images. These thresholds can be(More)