Stochastic Modeling for Medical Image Analysis

Stochastic Modeling for Medical Image Analysis

Gimel'farb, Georgy; Suri, Jasjit S.; El-Baz, Ayman

Taylor & Francis Ltd

12/2021

304

Mole

Inglês

9781032237541

15 a 20 dias

560

Descrição não disponível.
Medical Imaging Modalities. From Images to Graphical Models. IRF Models: Estimating Marginals. Markov-Gibbs Random Field Models: Estimating Signal Interactions. Applications: Image Alignment. Segmenting Multimodal Images. Segmenting with Deformable Models. Segmenting with Shape and Appearance Priors. Cine Cardiac MRI Analysis. Sizing Cardiac Pathologies.
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Empirical Marginals;Dm;MEDICAL IMAGING;Shape Prior;ACCURATE DENSITY ESTIMATION OF MULTI-MODEL IMAGES USINGALINEAR COMBINATION OF DISCRETE GAUSSIANS (LCDGS);Training Images;GENERAL MGRF WITH MULTIPLE PAIRWISE PIXEL INTERACTIONS;Ground Truth;STOCHASTIC SEGMENTATION OF MULTI-MODAL IMAGES;GT;IMAGE SEGMENTATION WITH A PARAMETRIC DEFORMABLE MODEL USING SHAPE AND APPEARANCE PRIORS;Signed Distance Map;MRI;Medical Image Analysis;Image Modeling;MGRF;Computed Tomography;Affine Transformation;Ultrasound Imaging;GLS;Nuclear Medical Imaging (Nuclide Imaging);Exponential Family;Stochastic Modeling;Parametric Deformable Model;Stochastic Image Modeling;MRF;Transmural Extent;Random Field;IRF;Outer Borders;Lattice Sites;Deformable Boundary;Clique Families;LV Wall;NMI;Pathological Tissue;Appearance Prior