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» Model-Based Brain and Tumor Segmentation
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139
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ICSAP
2010
15 years 4 months ago
An Enhanced Implementation of Brain Tumor Detection Using Segmentation Based on Soft Computing
—Image Segmentation is an important and challenging factor in the medical image segmentation. This paper describes segmentation method consisting of two phases. In the first phas...
T. Logeswari, M. Karnan
92
Voted
MICCAI
2002
Springer
16 years 2 months ago
Automatic Brain and Tumor Segmentation
Nathan Moon, Elizabeth Bullitt, Koen Van Leemput, ...
114
Voted
MICCAI
2005
Springer
16 years 2 months ago
Synthetic Ground Truth for Validation of Brain Tumor MRI Segmentation
Validation and method of comparison for segmentation of magnetic resonance images (MRI) presenting pathology is a challenging task due to the lack of reliable ground truth. We prop...
Marcel Prastawa, Elizabeth Bullitt, Guido Gerig
122
Voted
MICCAI
2000
Springer
15 years 4 months ago
Simulation of Corticospinal Tract Displacement in Patients with Brain Tumors
The spatial relationship between the corticospinal tracts and a brain tumor is important for planning the surgical strategy. Although the white matter tracts can be manually outlin...
Michael Kaus, Arya Nabavi, C. T. Mamisch, William ...
140
Voted
MICCAI
2008
Springer
16 years 2 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,...