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
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;
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
DOI :
10.1109/ICMLC.2008.4620888
