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MICCAI
2003
Springer
15 years 10 months ago
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...
BIOINFORMATICS
2005
93views more  BIOINFORMATICS 2005»
14 years 9 months ago
Donuts, scratches and blanks: robust model-based segmentation of microarray images
Inner holes, artifacts and blank spots are common in microarray images, but current image analysis methods do not pay them enough attention. We propose a new robust model-based me...
Qunhua Li, Chris Fraley, Roger Eugene Bumgarner, K...
SIBGRAPI
2006
IEEE
15 years 3 months ago
Duality between the Watershed by Image Foresting Transform and the Fuzzy Connectedness Segmentation Approaches
This paper makes a rereading of two successful image segmentation approaches, the fuzzy connectedness (FC) and the watershed (WS) approaches, by analyzing both by means of the Ima...
Romaric Audigier, Roberto de Alencar Lotufo
CAIP
2007
Springer
180views Image Analysis» more  CAIP 2007»
15 years 3 months ago
Automatic Segmentation of Femur Bones in Anterior-Posterior Pelvis X-Ray Images
Segmentation of femurs in Anterior-Posterior x-ray images is very important for fracture detection, computer-aided surgery and surgical planning. Existing methods do not perform we...
Feng Ding, Wee Kheng Leow, Tet Sen Howe
ICPR
2010
IEEE
15 years 4 months ago
Typographical Features for Scene Text Recognition
Scene text images feature an abundance of font style variety but a dearth of data in any given query. Recognition methods must be robust to this variety or adapt to the query data...
Jerod Weinman