Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/18975
Title: Classification of medical images for disease diagnosis
Authors: Sudha Devi Manbahal Shukal.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Issue Date: 2009
Abstract: This report analyses how a mathematical model of the form, y=M*exp (-t/a)*(1-exp (-t/b)) +N*exp (t*c), emulating the function of the kidneys was formulated and developed using the MATLAB environment. The kidneys perform the essential function of removing waste products from the blood and regulating the water fluid levels. For the classification of the medical images, a Statistical Pattern Recognition approach, Linear Discriminant Analysis (LDA) was employed. A database comprising of over 40 renograms, taken from more than 20 renal patients was used for this project. The algorithm was first trained using the renograms, called the training set and then further developed using the test sets. The results obtained verified that the algorithms have been successfully implemented in the program written by the author.
URI: http://hdl.handle.net/10356/18975
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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