Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/25354
Title: Automatic detection of alzheimers disease using hippocampus mri texture features
Researcher: Rajeesh, J
Guide(s): Moni, R S
Keywords: alzheimers disease
hippocampus mri texture
information and communication engineering
Upload Date: 22-Sep-2014
University: Anna University
Completed Date: 01/03/2011
Abstract: Alzheimers disease also called presenile dementia is a serious newlinedegenerative brain disorder usually occurring in adults aged between forty and newlinesixty Although the currently existing treatments cannot stop the disorder from newlinebecoming more serious they can temporarily slow the worsening of symptoms newlineand improve the quality of life of the victims and their caregivers if identified newlineearlier For the diagnosis of Alzheimers brain Magnetic Resonance Image is newlinenormally taken This fact opens the possibility of applying image processing newlinetechniques in order to facilitate and improve diagnosis in different ways newlineAutomatic detection of any disease from the sample is very useful for doctors in newlineterms of saving time and increasing accuracy The development of automatic newlinedisease detection system from the human structural images are challenging newlinebecause of the noises produced during the process The automatic detection of newlineAlzheimers disease is bound to be difficult due to the limitations of automatic newlinesegmentation algorithms There is therefore a need to develop an automatic newlineAlzheimers disease diagnostic system which is very accurate fast and user newlinefriendly newline newline
Pagination: xxii,159p.
URI: http://hdl.handle.net/10603/25354
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File50.63 kBAdobe PDFView/Open
02_certificates.pdf745.22 kBAdobe PDFView/Open
03_abstract.pdf11.37 kBAdobe PDFView/Open
04_acknowledgement.pdf8.3 kBAdobe PDFView/Open
05_contents.pdf42.25 kBAdobe PDFView/Open
06_chapter 1.pdf22.12 kBAdobe PDFView/Open
07_chapter 2.pdf190.54 kBAdobe PDFView/Open
08_chapter 3.pdf698.65 kBAdobe PDFView/Open
09_chapter 4.pdf550.79 kBAdobe PDFView/Open
10_chapter 5.pdf316.53 kBAdobe PDFView/Open
11_chapter 6.pdf309.38 kBAdobe PDFView/Open
12_chapter 7.pdf21.39 kBAdobe PDFView/Open
13_appendix.pdf276.93 kBAdobe PDFView/Open
14_references.pdf53.93 kBAdobe PDFView/Open
15_publications.pdf11.77 kBAdobe PDFView/Open
16_vitae.pdf6.95 kBAdobe PDFView/Open


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