Region of interest based image classification : a study in MRI brain scan categorization

Elsayed, Ashraf Said Ahmed (2011) Region of interest based image classification : a study in MRI brain scan categorization. In: Data Mining Applications in Engineering and Medicine. InTech - Open Science,Slavka Krautzeka, Croatia, pp. 225-248.

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Abstract

This thesis describes research work undertaken in the field of image mining. More specifically, the research work is directed at image classification according to the nature of a particular Region Of Interest (ROI) that appears across a given image set. Four approaches are described in the context of the classification of medical images. The first is founded on the extraction of a ROI signature using the Hough transform, but using a polygonal approximation of the ROI boundary. The second approach is founded on a weighted subgraph mining technique whereby the ROI is represented using a quad-tree structure which allows the application of a weighted subgraph mining technique to identify feature vectors representing these ROIs; these can then be used as the foundation with which to build a classifier. The third uses an efficient mechanism for determining Zernike moments as a feature extractor, which are then translated into feature vectors to which a classification process can be applied. The fourth is founded on a time series analysis technique whereby the ROI is represented as a pseudo time series which can then be used as the foundation for a Case Based Reasoner. The presented evaluation is directed at MRI ... (continues)

Item Type:	Book Section
Uncontrolled Keywords:	Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	21 Nov 2019 14:06
Last Modified:	10 Aug 2024 07:19
DOI:	10.17638/03062822
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3062822