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MICCAI
2002
Springer
16 years 7 months ago
Recognizing Deviations from Normalcy for Brain Tumor Segmentation
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
David T. Gering, W. Eric L. Grimson, Ron Kikinis
ICCV
2005
IEEE
16 years 10 days ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
ICIAR
2010
Springer
15 years 5 months ago
Adaptive Regularization Parameter for Graph Cut Segmentation
Abstract. Graph cut minimization formulates the segmentation problem as the liner combination of data and smoothness terms. The smoothness term is included in the energy formulatio...
Sema Candemir, Yusuf Sinan Akgul
ICMCS
2006
IEEE
215views Multimedia» more  ICMCS 2006»
16 years 24 days ago
Experiential Sampling based Foreground/Background Segmentation for Video Surveillance
Segmentation of foreground and background has been an important research problem arising out of many applications including video surveillance. A method commonly used for segmenta...
Pradeep K. Atrey, Vinay Kumar, Anurag Kumar, Mohan...
MICCAI
2000
Springer
15 years 10 months ago
Segmentation by Adaptive Geodesic Active Contours
This paper introduces the use of spatially adaptive components into the geodesic active contour segmentation method for application to volumetric medical images. These components a...
Carl-Fredrik Westin, Liana M. Lorigo, Olivier D. F...