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» Incremental learning for segmentation in medical images
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ICIP
2008
IEEE
14 years 9 months ago
Supervised methods for perfect segmentation in medical images
We pose the problem of perfect segmentation for regions with ambiguous boundaries. We design machine learning classifiers to identify boundaries and build these into an interactiv...
Tony Shepherd, Daniel C. Alexander
MICCAI
2003
Springer
14 years 8 months ago
A Statistically Based Surface Evolution Method for Medical Image Segmentation: Presentation and Validation
Abstract. In this paper we present a new algorithm for 3D medical image segmentation. The algorithm is fast, relatively simple to implement, and semi-automatic. It is based on mini...
Eric Pichon, Allen Tannenbaum, Ron Kikinis
ICCV
2011
IEEE
12 years 7 months ago
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
Gustavo Carneiro, Jacinto C. Nascimento
MICCAI
2003
Springer
14 years 8 months ago
An Artificially Evolved Vision System for Segmenting Skin Lesion Images
Abstract. We present a novel technique where a medical image segmentation system is evolved using genetic programming. The evolved system was trained on just 8 images outlined by a...
Mark E. Roberts, Ela Claridge
METMBS
2004
174views Mathematics» more  METMBS 2004»
13 years 8 months ago
Med-LIFE: A Diagnostic Aid for Medical Imagery
We present a system known as Med-LIFE (Medical application of Learning, Image Fusion, and Exploration) currently under development for medical image analysis. This pipelined syste...
Joshua R. New, Erion Hasanbelliu, Mario Aguilar