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MICCAI
2008
Springer
14 years 10 months ago
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
In this paper we present a fully automated approach to the segmentation of pediatric brain tumors in multi-spectral 3-D magnetic resonance images. It is a top-down segmentation app...
Michael Wels, Gustavo Carneiro, Alexander Aplas,...
ISMB
1996
13 years 10 months ago
Gene Recognition in Cyanobacterium Genomic Sequence Data Using the Hidden Markov Model
We have developed a hidden Markov model (HMM)to detect the protein coding regions within one megabase contiguous sequence data, registered in a database called GenBankin eight ent...
Tetsushi Yada, Makoto Hirosawa
CVPR
2009
IEEE
15 years 3 months ago
Holistic Context Modeling using Semantic Co-occurrences
We present a simple framework to model contextual relationships between visual concepts. The new framework combines ideas from previous object-centric methods (which model conte...
Nikhil Rasiwasia (University Of California, San Di...
JCIT
2010
156views more  JCIT 2010»
13 years 3 months ago
Intelligent Monitoring Approach for Pipeline Defect Detection from MFL Inspection
Artificial Neural Networks(ANNS) have top level of capability to progress the estimation of cracks in metal tubes. The aim of this paper is to propose an algorithm to identify mod...
Saeedreza Ehteram, Seyed Zeinolabedin Moussavi, Mo...
AVSS
2009
IEEE
14 years 3 days ago
Bayesian Bio-inspired Model for Learning Interactive Trajectories
—Automatic understanding of human behavior is an important and challenging objective in several surveillance applications. One of the main problems of this task consists in accur...
Alessio Dore, Carlo S. Regazzoni