DocumentCode
476238
Title
Contrast co-occurrence and polyfit for analysis B-Scan image
Author
Li, Guodong ; Chen, Decang ; Zhang, Honglan
Author_Institution
Sch. of Math. & Phys., North China Electr. Power Univ., Beijing
Volume
5
fYear
2008
fDate
12-15 July 2008
Firstpage
2820
Lastpage
2824
Abstract
In this paper, we contrast two way for processed ultrasound. One is B-scan images of chronic hepatitis B (CHB) patientspsila livers analysis by polyfit with CNN. The other is analyzed by co-occurrence with CNN to process fat livers. We find those are useful way for patient diagnose.
Keywords
biomedical ultrasonics; cellular neural nets; liver; medical image processing; ultrasonic imaging; B-scan image analysis; cellular neural nets; chronic hepatitis B; contrast cooccurrence; patient diagnosis; patient livers analysis; ultrasound processing; Cybernetics; Image analysis; Machine learning; B-Scan image; edge detection; liver damges 10-degree polynomials fitting;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620888
Filename
4620888
Link To Document