87 search results - page 6 / 18 » Incremental learning for segmentation in medical images |
ISBI
2008
IEEE
14 years 8 months ago
2008
IEEE
In this work we present a novel approach for learning nonhomogenous textures without facing the unlearning problem. Our learning method mimics the human behavior of selective lear...
MICCAI
2010
Springer
13 years 5 months ago
2010
Springer
Segmentation of surgical devices in fluoroscopic images and in particular of guide-wires is a valuable element during surgery. In cardiac angioplasty, the problem is particularly ...
MICCAI
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. While there has been substantial progress in segmenting natural images, state-of-the-art methods that perform well in such tasks unfortunately tend to underperform when c...
MICCAI
2009
Springer
14 years 8 months ago
2009
Springer
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...
CIARP
2007
Springer
14 years 1 months ago
2007
Springer
Segmentation through seeded region growing is widely used because it is fast, robust and free of tuning parameters. However, the seeded region growing algorithm requires an automat...