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» Linear Segmentation and Segment Significance
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MICCAI
2003
Springer
14 years 8 months ago
Segmentation and Evaluation of Adipose Tissue from Whole Body MRI Scans
Accurate quantification of total body and the distribution of regional adipose tissue using manual segmentation is a challenging problem due to the high variation between manual de...
Yinpeng Jin, Celina Imielinska, Andrew Laine, Jaya...
IPMI
2003
Springer
14 years 8 months ago
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images
Active Shape Models (ASM) have proven to be an effective approach for image segmentation. In some applications, however, the linear model of gray level appearance around a contour ...
Marleen de Bruijne, Bram van Ginneken, Max A. Vier...
TIP
2002
179views more  TIP 2002»
13 years 7 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
ICIP
2010
IEEE
13 years 5 months ago
Improving subpixel stereo matching with segment evolution
Segmentation-based approach has shown significant success in stereo matching. By assuming pixels within one image segment belong to the same 3D surface, robust depth estimation ca...
Yao-Jen Chang, Hung-Hsun Liu, Tsuhan Chen
IJCNLP
2005
Springer
14 years 26 days ago
Using Multiple Discriminant Analysis Approach for Linear Text Segmentation
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
Jingbo Zhu, Na Ye, Xinzhi Chang, Wenliang Chen, Be...