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» An Adaptive Level Set Method for Medical Image Segmentation
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SIGKDD
2008
150views more  SIGKDD 2008»
14 years 9 months ago
Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method
This paper presents our solution for KDD Cup 2008 competition that aims at optimizing the area under ROC for breast cancer detection. We exploited weighted-based classification me...
Hung-Yi Lo, Chun-Min Chang, Tsung-Hsien Chiang, Ch...
MICCAI
2007
Springer
15 years 10 months ago
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
Patrick Etyngier, Florent Ségonne, Renaud K...
BILDMED
2009
180views Algorithms» more  BILDMED 2009»
14 years 10 months ago
Automatic Needle Segmentation in 3D Ultrasound Data Using a Hough Transform Approach
Segmentation in ultrasound data is a very challenging field of research in medical image processing. This article presents a method for automatic segmentation of biopsy needles and...
Philipp Hartmann, Matthias Baumhauer, Jens Rasswei...
ISBI
2008
IEEE
15 years 10 months ago
Spatially constrained segmentation of dermoscopy images
Dermoscopy is a technique used to better visualize pigmented skin lesion and aid the clinician in determining if a lesion is benign or malignant. Automated segmentation of dermosc...
Howard Zhou, Mei Chen, Le Zou, Richard Gass, Laura...
SIAMIS
2008
115views more  SIAMIS 2008»
14 years 9 months ago
Geodesic Evolution Laws---A Level-Set Approach
Motion of curves governed by geometric evolution laws, such as mean curvature flow and surface diffusion, is the basis for many algorithms in image processing. If the images to be ...
Christina Stöcker, Axel Voigt