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» Uncertainty-Aware Guided Volume Segmentation
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SI3D
2005
ACM
13 years 10 months ago
Volume catcher
It is difficult to obtain a specific region within unsegmented volume data (region of interest, ROI). The user must first segment the volume, a task which itself involves signi...
Shigeru Owada, Frank Nielsen, Takeo Igarashi
CVPR
2010
IEEE
13 years 9 months ago
Efficient Hierarchical Graph-Based Video Segmentation
We present an efficient and scalable technique for spatiotemporal segmentation of long video sequences using a hierarchical graph-based algorithm. We begin by oversegmenting a vol...
Matthias Grundmann, Vivek Kwatra, Mei Han, Irfan E...
IWINAC
2009
Springer
13 years 9 months ago
Results of an Adaboost Approach on Alzheimer's Disease Detection on MRI
Abstract. In this paper we explore the use of the Voxel-based Morphometry (VBM) detection clusters to guide the feature extraction processes for the detection of Alzheimer's d...
Alexandre Savio, Maite García-Sebasti&aacut...
MICCAI
2001
Springer
13 years 9 months ago
Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation
Extracting 3D structures from volumetric images like MRI or CT is becoming a routine process for diagnosis based on quantitation, for radiotherapy planning, for surgical planning a...
Guido Gerig, Matthieu Jomier, Miranda Chakos
MMSP
2008
IEEE
144views Multimedia» more  MMSP 2008»
13 years 11 months ago
Spatiotemporal semantic video segmentation
—In this paper, we propose a framework to extend semantic labeling of images to video shot sequences and achieve efficient and semantic-aware spatiotemporal video segmentation. ...
Eric Galmar, Thanos Athanasiadis, Benoit Huet, Yan...