87 search results - page 3 / 18 » Incremental learning for segmentation in medical images |
MICCAI
2005
Springer
14 years 8 months ago
2005
Springer
Abstract. In this paper, we propose a new dynamic learning framework that requires a small amount of labeled data in the beginning, then incrementally discovers informative unlabel...
DAGM
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
ISBI
2008
IEEE
14 years 8 months ago
2008
IEEE
This paper describes a general purpose algorithm to segment any kind of lesions in CT images. The algorithm expects a click or a stroke inside the lesion from the user and learns ...
JACIII
2006
13 years 7 months ago
2006
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
MICCAI
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Automatic delineation of the prostate boundary in transrectal ultrasound (TRUS) can play a key role in image-guided prostate intervention. However, it is a very challengi...