GUPEA >
Student essays / Studentuppsatser >
Department of Mathematical Sciences / Institutionen för matematiska vetenskaper >
Masteruppsatser >

Microcalcification Detection in Mammography using Wavelet Transform and Statistical Parameters


Please use this identifier to cite or link to this item: http://hdl.handle.net/2077/28929

Files in This Item:

File Description SizeFormat
gupea_2077_28929_1.pdf3668KbAdobe PDF
View/Open
Title: Microcalcification Detection in Mammography using Wavelet Transform and Statistical Parameters
Authors: Hashemi Aghjekandi, Eliza
Issue Date: 15-Mar-2012
Degree: Student essay
Keywords: Microcalcifications in Mammography
Wavelets Transforms
Skewness
Kurtosis Parameter
Abstract: The earliest sign of breast cancer is the existence of microcalcifications which are tiny calcium clusters in breast tissues detected in mammographies. Early detection and diagnosis of microcalcifications is the main step to improve prognosis of breast cancer, which is one of the most frequently serious disease among women. In this work, we study the methodology based on Bi-dimensional discrete wavelet transform and statistical measurements to estimate the position of these tiny clusters i... more
URI: http://hdl.handle.net/2077/28929
Appears in Collections:Masteruppsatser

This item has been viewed 101 times.

 

 

© Göteborgs universitet 2011