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» Segmentation of medical images using a genetic algorithm
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ISBI
2002
IEEE
16 years 7 months ago
Support vector machine learning for detection of microcalcifications in mammograms
Microcalcification (MC) clusters in mammograms can be an indicator of breast cancer. In this work we propose for the first time the use of support vector machine (SVM) learning fo...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
MICCAI
2002
Springer
16 years 8 months ago
Standardized Analysis of Intracranial Aneurysms Using Digital Video Sequences
CT-angiography is a well established medical imaging technique for the detection, evaluation and therapy planning of intracranial aneurysms. Different 3D visualization algorithms s...
Sabine Iserhardt-Bauer, Peter Hastreiter, Bernd To...
ISBI
2002
IEEE
16 years 7 months ago
Classifying convex sets for vessel detection in retinal images
We present a method to detect vessels in images of the retina. Instead of relying on pixel classification, as many detection algorithms do, we propose a more natural representatio...
Joes Staal, Stiliyan Kalitzin, Michael D. Abr&agra...
ISBI
2009
IEEE
16 years 1 months ago
Multiple Hypothesis Tracking in Microscopy Images
Multiple hypothesis tracking (MHT) is a preferred technique for solving the data association problem in modern multiple target tracking systems. However in bioimaging applications...
Nicolas Chenouard, Isabelle Bloch, Jean-Christophe...
ISBI
2004
IEEE
16 years 7 months ago
Speckle Reduction on Ultrasound Image by Variational Methods and Adaptive Lagrangian Multipliers
Ultrasound images are corrupted by a multiplicative noise, the speckle, which makes high level analysis difficult. Within each resolution cell a number of elementary scatterers re...
Arnaud Ogier, Pierre Hellier, Christian Barillot