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ISBI
2009
IEEE
15 years 8 months ago
A New Interactive Method for Coronary Arteries Segmentation Based on Tubular Anisotropy
In this paper we present a new interactive method for tubular structure extraction. The main application and motivation for this work is vessel tracking in 3D medical images. The ...
Fethallah Benmansour, Laurent D. Cohen
CIARP
2009
Springer
15 years 5 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...
MICCAI
2004
Springer
16 years 2 months ago
Real-Time Multi-model Tracking of Myocardium in Echocardiography Using Robust Information Fusion
Automatic myocardial wall motion tracking in ultrasound images is an important step in analysis of the heart function. Existing methods for Myocardial Wall Tracking are not robust ...
Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu...
ISBI
2008
IEEE
16 years 2 months ago
Sift-based sequence registration and flow-based cortical vessel segmentation applied to high resolution optical imaging data
Several functional and biomedical imaging techniques rely on determining hemodynamic variables and their changes in large vascular networks. To do so at micro-vascular resolution ...
Ivo Vanzetta, Mickaël Péchaud, Renaud ...
CVPR
2005
IEEE
16 years 4 months ago
A New Active Contour Method Based on Elastic Interaction
Image segmentation is defined as partitioning an image into non-overlapping regions based on the intensity or texture. The active contour methods provide an effective way for segm...
Yang Xiang, Albert C. S. Chung, Jian Ye