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» Level Set Methods for Watershed Image Segmentation
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IPMI
2009
Springer
14 years 9 months ago
Estimation of Inferential Uncertainty in Assessing Expert Segmentation Performance from STAPLE
The evaluation of the quality of segmentations of an image, and the assessment of intra- and inter-expert variability in segmentation performance, has long been recognized as a dic...
Olivier Commowick, Simon K. Warfield
ICIP
2001
IEEE
14 years 10 months ago
Word shape recognition for image-based document retrieval
In this paper, we propose a word shape recognition method for retrieving image-based documents. Document images are segmented at the word level first. Then the proposed method det...
Weihua Huang, Chew Lim Tan, Sam Yuan Sung, Yi Xu
ICIP
2002
IEEE
14 years 1 months ago
Two channels fuzzy c-means detection of multiple sclerosis lesions in multispectral MR images
A novel approach to the detection of multiple sclerosis (MS) lesions in T2- and PD-weighted MR images is presented. The core of the proposed method is the use of the two channels ...
Daniele Peri, Edoardo Ardizzone, Roberto Pirrone, ...
TMI
2010
217views more  TMI 2010»
13 years 3 months ago
A Generative Model for Image Segmentation Based on Label Fusion
We propose a nonparametric, probabilistic model for the automatic segmentation of medical images, given a training set of images and corresponding label maps. The resulting inferen...
Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Le...
ECCV
2010
Springer
13 years 7 months ago
Supervised Label Transfer for Semantic Segmentation of Street Scenes
In this paper, we propose a robust supervised label transfer method for the semantic segmentation of street scenes. Given an input image of street scene, we first find multiple ima...
Honghui Zhang, Jianxiong Xiao, Long Quan