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ICIP
2006
IEEE
16 years 3 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen
ICCV
2005
IEEE
15 years 7 months ago
Learning Non-Generative Grammatical Models for Document Analysis
— We present a general approach for the hierarchical segmentation and labeling of document layout structures. This approach models document layout as a grammar and performs a glo...
Michael Shilman, Percy Liang, Paul A. Viola
100
Voted
CVPR
2007
IEEE
16 years 4 months ago
Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure
We propose a novel classification approach for automatically detecting pulmonary embolism (PE) from computedtomography-angiography images. Unlike most existing approaches that req...
Jinbo Bi, Jianming Liang
MICCAI
2009
Springer
16 years 3 months ago
A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation
Abstract. We consider a general modelling strategy to handle in a unified way a number of tasks essential to MR brain scan analysis. Our approach is based on the explicit definitio...
Benoit Scherrer, Florence Forbes, Michel Dojat
ISBI
2008
IEEE
16 years 2 months ago
3D general lesion segmentation in CT
This paper describes a general purpose algorithm to segment any kind of lesions in CT images. The algorithm expects a click or a stroke inside the lesion from the user and learns ...
Marie-Pierre Jolly, Leo Grady