Results 261 to 268 of about 200,023 (268)

Regression Segmentation for M³ Spinal Images.

IEEE transactions on medical imaging, 2016
Clinical routine often requires to analyze spinal images of multiple anatomic structures in multiple anatomic planes from multiple imaging modalities (M(3)). Unfortunately, existing methods for segmenting spinal images are still limited to one specific structure, in one specific plane or from one specific modality (S(3)).
Zhijie, Wang, Xiantong, Zhen, KengYeow, Tay, Said, Osman, Walter, Romano, Shuo, Li   +5 more
openaire   +1 more source

Segmente der Welthandelsflotte: Eine Seemingly-Unrelated-Regressions-Analyse [PDF]

, 2008
This paper examines the development of the most important segments of the world mer-chant fleet. Suitable factors which influence the dynamics of the different ship types significantly are identified by different estimation procedures within the scope of a SUR- analysis.
Jost, Timo, Schulze, Peter M.
openaire   +1 more source

Segmented concave least squares: A nonparametric piecewise linear regression

European Journal of Operational Research, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Fitting Segmented Regression Models by Grid Search

Applied Statistics, 1980
SUMMARY A grid-search method of fitting segmented regression curves with unknown transition points is described and compared with a standard method. It is shown to be suitable for fitting a wider class of models than the standard method and to provide as a by-product a way of making reliable inferences about the abscissae of the transitions.
openaire   +1 more source

CT Prostate Deformable Segmentation by Boundary Regression

2014
Automatic and accurate prostate segmentation from CT images is challenging due to low image contrast, uncertain organ motion, and variable organ appearance in different patient images. To deal with these challenges, we propose a new prostate boundary detection method with a boundary regression strategy for prostate deformable segmentation.
Yeqin Shao, Yaozong Gao, Xin Yang, Dinggang Shen   +3 more
openaire   +1 more source

Asymptotic inference for segmented regression models

2008
This thesis deals with the estimation of segmented multivariate regression models. A segmented regression model is a regression model which has different analytical forms in different regions of the domain of the independent variables. Without knowing the number of these regions and their boundaries, we first estimate the number of these regions by ...
openaire   +1 more source

DBRS2: dense boundary regression for semantic segmentation

Journal of Electronic Imaging, 2018
Most of the current semantic segmentation approaches have achieved state-of-the-art performance relying on fully convolutional networks. However, the consecutive operations such as pooling or convolution striding lead to spatially disjointed object boundaries.
openaire   +1 more source

Market Segment Classification Modeling with Logistic Regression

2003
openaire   +1 more source