87 search results - page 3 / 18 » Incremental learning for segmentation in medical images |
MICCAI
2005
Springer
15 years 10 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
15 years 1 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
15 years 10 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
14 years 9 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
14 years 8 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...