Supervised vessel segmentation with minimal features
Current state-of-the art supervised vessel segmentation methods require large number of feature vectors to construct a good model. In this paper, we propose a framework to optimally search for optimal features as inputs to Artificial Neural Network (ANN) trained by Scaled Conjugate Gradient (SCG). S...
Main Authors: | , |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/42183/ http://irep.iium.edu.my/42183/ http://irep.iium.edu.my/42183/4/su.pdf |