>
Fa   |   Ar   |   En
   compression of breast cancer images by principal component analysis  
   
نویسنده saraswat monika ,wadhwani a. k. ,dubey manish
منبع international journal of advanced biological and biomedical research - 2013 - دوره : 1 - شماره : 7 - صفحه:767 -776
چکیده    the aim of this work, early detection of the breast cancer and reduce the mortality rate. breast cancer isthe second most lethal cancer for women in the world today. image compression is fundamental to the efficient and cost-effective use of digital medical maging technology and applications. the conventional method for measuring quality and noise from the image by snr and psnr. compressed the noise ratio from the cancer image and decomposed the psnr value. the effective method principal component analysis currently provides the most promising approach to high-quality image compression. compressed the noise and improve the quality in the breast cancer image by pca method.
کلیدواژه snr ,mse ,psnr ,mammograms ,pca.
آدرس rajiv gandhi proudyogiki vishwavidyalaya (rgpv), madhav institute of technology and science (mits), india, rajiv gandhi proudyogiki vishwavidyalaya (rgpv), madhav institute of technology and science (mits), india, rajiv gandhi proudyogiki vishwavidyalaya (rgpv), madhav institute of technology and science (mits), india
پست الکترونیکی manishdubey52@gmail.com
 
 

Copyright 2015
Islamic World Science Citation Center
All Rights Reserved