A Machine learning approach to Brain tissue Segmentation

Nair, Smitha Sunil Kumaran (2013) A Machine learning approach to Brain tissue Segmentation. In: International Conference on Advanced Computer Science and Information Technology, Feb 17, 2013, Goa, India.

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This article deals with a supervised machine learning algorithm to segment Magnetic Resonance brain image (MRI) slices into three tissues namely Gray Matter (GM), White Matter (WM) and Cerebro Spinal Fluid (CSF). The proposed work describes and discusses on how to optimize the features using a nature inspired algorithm mimicking the social behavior of ants namely Ant Colony optimization (ACO) technique and then train a neural network (NN) to separate the brain tissues.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Brain tissue segmentation, Ant Colony optimization, Neural network.
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 22 Mar 2013 05:37
Last Modified: 22 Mar 2013 05:37
URI: http://eprints.manipal.edu/id/eprint/79206

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