Title :
Spatial based breast MR images lesion detection and colourisation
Author :
Sim, K.S. ; Chia, F.K. ; Chong, S.S. ; Tso, C.P. ; Abbas, Siti Fathimah ; Omar, Sarimah
Author_Institution :
Fac. of Eng. & Technol., Multimedia Univ., Ayer Keroh, Malaysia
fDate :
Nov. 30 2010-Dec. 2 2010
Abstract :
In this paper, we designed a Computer-Aided-Diagnosis (CAD) system for lesion detection in breast MR images. The CAD process begins with analysis of MR images to detect the existence of lesion. If lesion exists, it is then coloured based on its type; benign, suspicious or malignant. Our CAD system enables better visualization of the lesions and improves accuracy as well as speed for breast cancer diagnosis.
Keywords :
biological organs; biomedical MRI; cancer; feature extraction; gynaecology; image classification; medical image processing; tumours; benign lesion; breast MR images; breast cancer diagnosis; computer aided diagnosis; lesion colourisation; lesion detection; malignant lesion; suspicious lesion; Cancer; Design automation; Educational institutions; Image color analysis; Three dimensional displays; Tumors; Visualization; MRI; breast cancer; lesion detection;
Conference_Titel :
Biomedical Engineering and Sciences (IECBES), 2010 IEEE EMBS Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7599-5
DOI :
10.1109/IECBES.2010.5742208
