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67
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MICCAI
2002
Springer
15 years 10 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
MICCAI
2008
Springer
15 years 10 months ago
Markov Dependence Tree-Based Segmentation of Deep Brain Structures
We propose a new framework for multi-object segmentation of deep brain structures, which have significant shape variations and relatively small sizes in medical brain images. In th...
Jue Wu, Albert C. S. Chung
80
Voted
MICCAI
2000
Springer
15 years 1 months ago
Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures
This paper presents a deformable model for automatically segmenting objects from volumetric MR images and obtaining point correspondences, using geometric and statistical informati...
Dinggang Shen, Christos Davatzikos
73
Voted
MICCAI
2006
Springer
15 years 10 months ago
Hierarchical Part-Based Detection of 3D Flexible Tubes: Application to CT Colonoscopy
In this paper, we present a learning-based method for the detection and segmentation of 3D free-form tubular structures, such as the rectal tubes in CT colonoscopy. This method can...
Adrian Barbu, Luca Bogoni, Dorin Comaniciu
ISBI
2007
IEEE
15 years 3 months ago
Quantitative Representation of Three-dimensional Cell Culture Models
Three-dimensional mammary cell culture models offer new opportunities for the development of computational techniques for segmentation, localization, and multicellular organizatio...
Hang Chang, Catherine Park, Bahram Parvin