BOOK-CHAPTER

Medical Image Segmentation Using Artificial Neural Networks

Abstract

RBF neural networks belong to the feed-forward networks while Hopfield, Cellular, and Pulse-Coupled neural networks belong to the feedback networks.This chapter is organized as follows.Section 2 explains methods that benefit from feedback networks such as Hopfield, Cellular, and Pulse-Coupled neural networks for image segmentation.In Section 3, we review the methods that use feedforward networks such as MLP and RBF neural networks.Then, we present our recent method.In this method, deep brain structures are segmented using Geometric Moment Invariants (GMIs) and MLP neural networks.www.intechopen.com

Keywords:
Artificial intelligence Computer science Artificial neural network Computer vision Image segmentation Image (mathematics) Segmentation Pattern recognition (psychology)

Metrics

30
Cited By
7.83
FWCI (Field Weighted Citation Impact)
50
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Brain Tumor Detection and Classification
Life Sciences →  Neuroscience →  Neurology
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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