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» Segmentation of medical images using a genetic algorithm
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CVPR
2006
IEEE
16 years 8 months ago
An Integrated Segmentation and Classification Approach Applied to Multiple Sclerosis Analysis
We present a novel multiscale approach that combines segmentation with classification to detect abnormal brain structures in medical imagery, and demonstrate its utility in detect...
Ayelet Akselrod-Ballin, Meirav Galun, Ronen Basri,...
103
Voted
ISBI
2004
IEEE
16 years 7 months ago
Automatic Quantification of Microtubule Dynamics
The dynamics of the microtubule assembly are very significant both for cell function and structure. Abnormal function of the assembly is involved in neurodegenerative diseases and...
Stathis Hadjidemetriou, James S. Duncan, Derek Too...
ICCV
2007
IEEE
16 years 8 months ago
From Uncertainties to Statistical Model Building and Segmentation of the Left Ventricle
Reliable segmentation of the left ventricle is a long sought objective in medical imaging for automatic retrieval of anatomical and pathological measurements and detection of malf...
Maxime Taron, Nikos Paragios, Marie-Pierre Jolly
ECCV
2006
Springer
16 years 8 months ago
Learning to Combine Bottom-Up and Top-Down Segmentation
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
Anat Levin, Yair Weiss
CSSE
2008
IEEE
16 years 1 months ago
Image Segmentation Based on 2D Otsu Method with Histogram Analysis
—Image segmentation plays an important role in image analysis and computer vision system. Among all segmentation techniques, the automatic thresholding methods are widely used be...
Jun Zhang, Jinglu Hu