Detection of Breast Lesion Using Improved GLCM Feature Based Extraction in Mammogram Images

2020 ◽  
Author(s):  
Punithavathi V ◽  
Dr. Devakumari D
2007 ◽  
Vol 19 (06) ◽  
pp. 359-374 ◽  
Author(s):  
Yih-Chih Chiou ◽  
Chern-Sheng Lin ◽  
Cheng-Yu Lin

Mammogram registration is a critical step in automatic detection of breast cancer. Much research has been devoted to registering mammograms using either feature-matching or similarity measure. However, a few studies have been done on combining these two methods. In this research, a hybrid mammogram registration method for the early detection of breast cancer is developed by combining feature-based and intensity-based image registration techniques. Besides, internal and external features were used simultaneously during the registration to obtain a global spatial transformation. The experimental results indicates that the similarity between the two mammograms increases significantly after a proper registration using the proposed TPS-registration procedures.


2015 ◽  
Author(s):  
Paul Dimitri ◽  
Karim Lekadir ◽  
Corne Hoogendoorn ◽  
Paul Armitage ◽  
Elspeth Whitby ◽  
...  

Informatica ◽  
2010 ◽  
Vol 21 (3) ◽  
pp. 361-374 ◽  
Author(s):  
Antanas Lipeika

Informatica ◽  
2017 ◽  
Vol 28 (3) ◽  
pp. 439-452
Author(s):  
Mykolas J. Bilinskas ◽  
Gintautas Dzemyda ◽  
Mantas Trakymas
Keyword(s):  
Ct Scan ◽  

2016 ◽  
Vol 136 (8) ◽  
pp. 1078-1084
Author(s):  
Shoichi Takei ◽  
Shuichi Akizuki ◽  
Manabu Hashimoto

Sign in / Sign up

Export Citation Format

Share Document