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» Segmentation of medical images using a genetic algorithm
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3DICA
2000
15 years 8 months ago
Impact of Intensity Edge map on Segmentation of Noisy Range Images
In this paper, we investigate the impact of intensity edge maps (IEMs) on the segmentation of noisy range images. Two edgebased segmentation algorithms are considered. The first i...
Yan Zhang, Yiyong Sun, Hamed Sari-Sarraf, Mongi A....
CCIA
2005
Springer
16 years 5 days ago
On the usefulness of supervised learning for vessel border detection in IntraVascular Imaging
IntraVascular UltraSound (IVUS) imaging is a useful tool in diagnosis of cardiac diseases since sequences completely show the morphology of coronary vessels. Vessel borders detecti...
Aura Hernandez, Debora Gil, Petia Radeva
ICIP
2003
IEEE
16 years 8 months ago
MRA data segmentation using level sets
In this paper, we use a level set based segmentation algorithm to extract the vascular tree from Magnetic Resonance Angiography, "MRA". Classification model finds an opt...
Hossam S. Hassan, Aly A. Farag
MICAI
2010
Springer
15 years 4 months ago
Automatic Image Annotation Using Multiple Grid Segmentation
Abstract. Automatic image annotation refers to the process of automatically labeling an image with a predefined set of keywords. Image annotation is an important step of content-ba...
Gerardo Arellano, Luis Enrique Sucar, Eduardo F. M...
PCM
2005
Springer
157views Multimedia» more  PCM 2005»
16 years 3 days ago
Segmentation of the Liver Using the Deformable Contour Method on CT Images
Abstract. Automatic liver segmentation from abdominal computed tomography (CT) images is one of the most important steps for computeraided diagnosis (CAD) for liver CT. However, th...
Seong-Jae Lim, Yong-Yeon Jeong, Yo-Sung Ho