Titlebook: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008; 11th International C Dimitris Metaxas,Leon Axel,Gábor Székely Con

Ballerina

A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmis a top-down segmentation approach based on a Markov random field (MRF) model that combines probabilistic boosting trees (PBT) and lower-level segmentation via graph cuts. The PBT algorithm provides a strong discriminative observation model that classifies tumor appearance while a spatial prior tak

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aesthetician

A Bayesian Approach for Liver Analysis: Algorithm and Validation Studys. The method repeatedly applies multi-resolution, multi-class smoothed Bayesian classification followed by morphological adjustment and active contours refinement. It uses multi-class and voxel neighborhood information to compute an accurate intensity distribution function for each class. The metho

Mirage

Classification of Suspected Liver Metastases Using fMRI Images: A Machine Learning Approachased statistical modeling to characterize colorectal hepatic metastases and follow their early hemodynamical changes. Changes in hepatic hemodynamics are evaluated from .-W fMRI images acquired during the breathing of air, air-.., and carbogen. A classification model is build to differentiate betwee

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giggle

摄取

MRI Bone Segmentation Using Deformable Models and Shape Priors method is the combination of physically-based deformable models with shape priors. Models evolve under the influence of forces that exploit image information and prior knowledge on shape variations. The prior defines a Principal Component Analysis (PCA) of global shape variations and a Markov Rando

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Evolve

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Toward Unsupervised Classification of Calcified Arterial Lesionsthe challenging problem of unsupervised calcified lesion classification. We propose an algorithm, . (UnSupervised Calcified Arterial Lesion Classification), that discriminates arterial lesions from non-arterial lesions. The proposed method first mines the characteristics of calcified lesions using a