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ICCV
2007
IEEE
14 years 9 months ago
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
Albert Murtha, Dana Cobzas, Mark Schmidt, Martin J...
ICDAR
2009
IEEE
14 years 2 months ago
Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String Segmentation
This paper proposes a recognition based approach to handwritten numeral string segmentation. We consider two classes: numeral strings segmented correctly or not. The feature vecto...
Yanjie Wang, Xiabi Liu, Yunde Jia
BMVC
2001
13 years 9 months ago
An Information Theoretic Approach to Statistical Shape Modelling
Statistical shape models have been used widely as a basis for segmenting and interpreting images. A major drawback of the approach is the need to establish a set of dense correspo...
Rhodri H. Davies, Timothy F. Cootes, Carole J. Twi...
BMCBI
2011
13 years 2 months ago
AnyExpress: Integrated toolkit for analysis of cross-platform gene expression data using a fast interval matching algorithm
Background: Cross-platform analysis of gene express data requires multiple, intricate processes at different layers with various platforms. However, existing tools handle only a s...
Jihoon Kim, Kiltesh Patel, Hyunchul Jung, Winston ...
COLING
1996
13 years 8 months ago
Segmenting Sentences into Linky Strings Using D-bigram Statistics
It is obvious that segmentation takes an important role in natural language processing(NLP), especially for the languages whose sentences are not easily separated into morphemes. ...
Shiho Nobesawa, Junya Tsutsumi, Sun Da Jiang, Tomo...