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ICDM
2006
IEEE
155views Data Mining» more  ICDM 2006»
14 years 1 months ago
Automatic Single-Organ Segmentation in Computed Tomography Images
In this paper, we propose a hybrid approach for automatic single-organ segmentation in Computed Tomography (CT) data. The approach consists of three stages: first, a probability i...
Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob D...
CIARP
2009
Springer
13 years 11 months ago
Pigmented Skin Lesions Classification Using Dermatoscopic Images
In this paper we propose a machine learning approach to classify melanocytic lesions in malignant and benign from dermatoscopic images. The image database is composed of 433 benign...
Germán Capdehourat, Andrés Corez, An...
SIAMSC
2008
237views more  SIAMSC 2008»
13 years 7 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto
PCM
2005
Springer
106views Multimedia» more  PCM 2005»
14 years 1 months ago
Automated Detection of Tumors in Mammograms Using Two Segments for Classification
A spread pattern of a tumor in medical images is an important factor for classification of the tumor. The spread pattern is generally not considered when we use only one segment fo...
Mahmoud R. Hejazi, Yo-Sung Ho
ACIVS
2010
Springer
13 years 5 months ago
Watershed Based Document Image Analysis
Document image analysis is used to segment and classify regions of a document image into categories such as text, graphic and background. In this paper we first review existing doc...
Pasha Shadkami, Nicolas Bonnier