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» A Two Level Classifier Process for Audio Segmentation
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MICCAI
2008
Springer
16 years 23 days 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,...
ICCV
2003
IEEE
15 years 4 months ago
The Catchment Feature Model for Multimodal Language Analysis
The Catchment Feature Model (CFM) addresses two questions in multimodal interaction: how do we bridge video and audio processing with the realities of human multimodal communicati...
Francis K. H. Quek
MICCAI
1998
Springer
15 years 3 months ago
Robust Brain Segmentation Using Histogram Scale-Space Analysis and Mathematical Morphology
Abstract. In this paper, we propose a robust fully non-supervised method dedicated to the segmentation of the brain in T1-weighted MR images. The first step consists in the analysi...
Jean-Francois Mangin, Olivier Coulon, Vincent Frou...
ECCV
2004
Springer
16 years 1 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
16 years 29 min ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee