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Title: Automated Detection and Grading of Brain Tumors using Particle Swarm Optimization
Researcher: Chandra, Satish
Guide(s): Bhat, Rajesh
Chauhan, Durg Singh
Singh, Harinder
Keywords: Brain Tumour
Image Segmentation
Magnetic Resonance Imaging (MRI)
Upload Date: 24-Sep-2013
University: Jaypee University of Information Technology, Solan
Completed Date: 07/12/2010
Abstract: There has been great impact on the field of medical imaging by the advancements in the computer technology as new and improved techniques of data acquisition newline, analysis, processing and visualization have evolved. Magnetic resonance images (MRI) provides information about potential abnormal tissues necessary for medical newlinefollow up. Brain MRI gets additional importance in medical science as it is the only preliminary method of diagnosing a brain tumor. This thesis addresses the newlineproblem of automated detection and grading of brain tumors. The important points in this research have been to develop and implement a robust algorithm for newlinethe classification of the Brain MRI images as normal or abnormal, to determine the grade of tumor present and to study the applicability of Particle Swarm Intelligence newlinein the field of medical segmentation and classification. Two traditional and two new methods are proposed and implemented for the detection of tumor from human newlinebrain MRI. The new methods were based on Particle Swarm Optimization. It was found experimentally that the PSO based method yielded better results compared to the newlinestandard methods.PSO based method was also applied for grading of the tumors as per the WHO standard. newline
Appears in Departments:Department of Computer Science Engineering

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01_title.pdfAttached File80.29 kBAdobe PDFView/Open
02_certificate.pdf79.38 kBAdobe PDFView/Open
03_acknowledgment.pdf195.77 kBAdobe PDFView/Open
04_contents.pdf298 kBAdobe PDFView/Open
05_list of tables figures.pdf214.67 kBAdobe PDFView/Open
06_chapter 1.pdf2.51 MBAdobe PDFView/Open
07_chapter 2.pdf1.84 MBAdobe PDFView/Open
08_chapter 3.pdf1.24 MBAdobe PDFView/Open
09_chapter 4.pdf2.09 MBAdobe PDFView/Open
10_chapter 5.pdf1.39 MBAdobe PDFView/Open
11_chapter 6.pdf1.55 MBAdobe PDFView/Open
12_list of publications.pdf130.01 kBAdobe PDFView/Open
13_references.pdf1.15 MBAdobe PDFView/Open

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