Enhancing information hiding and segmentation for medical images using novel steganography and clustering fusion techniques

Al-Dmour, Hayat Shahir Thalji

Enhancing information hiding and segmentation for medical images using novel steganography and clustering fusion techniques

Al-Dmour, Hayat Shahir Thalji

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Publication Type:: Thesis
Issue Date:: 2018

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Field	Value	Language
dc.contributor.author	Al-Dmour, Hayat Shahir Thalji
dc.date.accessioned	2018-04-05T03:44:07Z
dc.date.available	2018-04-05T03:44:07Z
dc.date.issued	2018
dc.identifier.uri	http://hdl.handle.net/10453/123217
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_AU
dc.description.abstract	In recent years, there has been rapid development in digital medical imaging. The continuous development of medical imaging is expected to make further contributions to healthcare systems, where the increased use of medical imaging in a variety of clinical settings has played an important role in improving health services. The main objective of the research presented in this thesis is to investigate digital image steganography and segmentation in order to offer a systematic way for designing and developing them, with a particular concentration on medical imaging security and magnetic resonance (MR) brain image segmentation.	en_AU
dc.format	Thesis (PhD)
dc.language.iso	en_AU	en_AU
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/123217/2/02whole.pdf
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	au.edu.uts.lib/ppc
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Enhancing information hiding and segmentation for medical images using novel steganography and clustering fusion techniques	en_AU
dc.type	Thesis	en_AU
utslib.copyright.status	open_access

Abstract:

In recent years, there has been rapid development in digital medical imaging. The continuous development of medical imaging is expected to make further contributions to healthcare systems, where the increased use of medical imaging in a variety of clinical settings has played an important role in improving health services. The main objective of the research presented in this thesis is to investigate digital image steganography and segmentation in order to offer a systematic way for designing and developing them, with a particular concentration on medical imaging security and magnetic resonance (MR) brain image segmentation.

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http://hdl.handle.net/10453/123217