Supervised vessel segmentation with minimal features

著录项

• 来源
  《2014 IEEE 19th International Functional Electrical Stimulation Society Annual Conference》|2014年|1-4|共4页
• 会议地点 Kuala Lumpur(MY)
• 作者

  Azemin Mohd Zulfaezal Che; Tamrin Mohd Izzuddin Mohd;

  展开▼
• 作者单位

  Kulliyyah of Allied Health Sci., Int. Islamic Univ. Malaysia, Kuantan, Malaysia;

  展开▼
• 会议组织
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  biomedical optical imaging; eye; feature selection; image segmentation; learning (artificial intelligence); medical image processing; neurophysiology; vision; ANN; SCG; artificial neural network; error reduction; feature vectors; optimal features; scaled conjugate gradient; state-of-the art supervised vessel segmentation methods; supervised learning; Accuracy; Artificial neural networks; Feature extraction; Image color analysis; Image segmentation; Retina; Sensitivity; artificial neural network scaled conjugate gradien;

  机译：生物医学光学成像;眼睛;特征选择;图像分割;学习（人工智能）;医学图像处理;神经生理学;视觉; ANN; SCG;人工神经网络;误差减少;特征向量;最优特征;比例共轭梯度;状态-有监督的血管分割方法;有监督的学习;准确性;人工神经网络;特征提取;图像颜色分析;图像分割;视网膜;敏感性;人工神经网络缩放的共轭梯度;