In this paper, an optimized hierarchical B-spline network was employed to detect the breast cancel. For evolving a hierarchical B-spline network model, a tree-structure based evolutionary algorithm and the Particle Swarm Optimization (PSO) are used to find an optimal detection model. The performance of proposed method was then compared with Flexible Neural Tree (FNT), Neural Network (NN), and W...

introduction 3d reconstruction of an object from its 2d cross-sections (slices) has many applications in different fields of sciences such as medical physics and biomedical engineering. in order to perform 3d reconstruction, at first, desired boundaries at each slice are detected and then using a correspondence between points of successive slices surface of desired object is reconstructed. mate...

Defects in articular cartilage can be repaired through osteochondral transplantation (mosaic arthroplasty), where osteochondral plugs from non-weight-bearing areas of the joint are transferred to the defect site. Incongruity between the plug surface and the adjacent cartilage results in increased contact pressures and poorer outcomes. We compare three methods to predict the desired repair surfa...

Region-based association analysis is a more powerful tool for gene mapping than testing of individual genetic variants, particularly for rare genetic variants. The most powerful methods for regional mapping are based on the functional data analysis approach, which assumes that the regional genome of an individual may be considered as a continuous stochastic function that contains information ab...

This study introduces a flexible nonlinear semiparametric spline model, new to solvency studies, as a tool for managerial discretion and regulatory oversight. The model has a linear component and a nonlinear component that uses stochastic splines. The study focuses on the functional relationship between regressors and the probability of financial distress as an object for managerial action. Lev...

We present a method for simulating the active contraction of deformable models, usable for interactive animation of soft deformable objects. We present a novel physical principle as the governing equation for the coupling between the low dimensional 1D activation force model and the higher dimensional 2D/3D deformable model. Our activation splines are easy to set up and can be used for physics ...

This paper addresses the problem of joint rate-distortion optimization of spline curves for optimal video object shape coding. It proposes a B-spline snake model which minimizes rate-distortion energy to find optimal spline coefficients. A continous model of a contour distortion is used which models the shape reconstruction error. A continous model of a coding bitrate is based on the relative i...

Human faces are neither exactly Lambertian nor entirely convex and hence most models in literature which make the Lambertian assumption, fall short when dealing with specularities and cast shadows. In this paper, we present a novel anti-symmetric tensor spline (a spline for tensorvalued functions) based method for the estimation of the Apparent BRDF (ABRDF) field for human faces that seamlessly...

Varying coefficient model is often used in statistical modeling since it more flexible than the parametric model. However, detection and variable selection of varying are poorly understood mode regression. Existing methods literature for these problems based on mean regression quantile In this paper, we propose a novel method to solve B-spline approximation SCAD penalty. Moreover, present new a...

A B-spline snake algorithm is proposed for the segmentation of the knee joint cartilage from MR images. A rst guess of the contour is provided interactively and is transformed into a B-spline representation. Image forces attract the B-spline curve towards the real cartilage boundaries. In addition, model forces based on a distance transformation are introduced in order to guide the evolution of...