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CVPR
2011
IEEE
12 years 11 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
MVA
2002
254views Computer Vision» more  MVA 2002»
13 years 7 months ago
Retinal Blood Vessel Extraction by Using Multi-resolution Matched Filtering and Directional Region Growing Segmentation
Anew method to extract retinal blood vessels from a colour fundus image is described. Digital colour h d u s images are contrast enhanced in order to obtain sharp edges. The green...
Mitsutoshi Himaga, David Usher, James F. Boyce
ICIP
2009
IEEE
14 years 8 months ago
Corner-based Background Segmentation Using Adaptive Resonance Theory
A correct video segmentation, namely the detection of moving objects within a scene plays a very important role in many application in safety, surveillance, trafic monitoring and ...
DAS
2004
Springer
14 years 27 days ago
Adaptive Region Growing Color Segmentation for Text Using Irregular Pyramid
This paper presents the result of an adaptive region growing segmentation technique for color document images using an irregular pyramid structure. The emphasis is in the segmentat...
Poh Kok Loo, Chew Lim Tan
CGF
2010
128views more  CGF 2010»
13 years 7 months ago
ProbExplorer: Uncertainty-guided Exploration and Editing of Probabilistic Medical Image Segmentation
In this paper, we develop an interactive analysis and visualization tool for probabilistic segmentation results in medical imaging. We provide a systematic approach to analyze, in...
Ahmed Saad, Torsten Möller, Ghassan Hamarneh