DocumentCode
416967
Title
Toward a neuro-fuzzy system for automatic segmentation and characterization of intravascular ultrasound images
Author
Filho, Esmeraldo Dos Santos ; Yoshizawa, Makoto ; Tanaka, Akira ; Saijo, Yoshifumi ; Yambe, Tomoyuki ; Nitta, Shin-ichi
Author_Institution
Graduate Sch. of Eng., Tohoku Univ., Sendai, Japan
Volume
2
fYear
2003
fDate
4-6 Aug. 2003
Firstpage
1586
Abstract
A project of a neuro-fuzzy system for automatic segmentation and characterization of intravascular ultrasound images is presented. The segmentation is performed by the use of the Fuzzy C Means algorithm and characterization is performed by using a neuro-fuzzy system capable of learning from images manually segmented and labeled by medical doctors. The proposed system has just been developed, and, in the actual stage, preliminary tests with the Inter Class Contrast validity measure have presented encouraging results.
Keywords
biomedical ultrasonics; cardiovascular system; fuzzy neural nets; fuzzy systems; image segmentation; image texture; medical image processing; pattern clustering; ultrasonic imaging; automatic image segmentation; fuzzy c means algorithm; inter class contrast validity measure; intravascular ultrasound images characterization; neuro fuzzy system;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2003 Annual Conference
Conference_Location
Fukui, Japan
Print_ISBN
0-7803-8352-4
Type
conf
Filename
1324210
Link To Document