Applying advanced fuzzy cellular neural network AFCNN to segmentation of serial CT liver images

Lecture Notes in Computer Science

Volumn 3612, Issue PART III, 2005, Pages 1128-1131

  Wang, Shitong ^a,b   Fu, Duan ^a   Xu, Min ^a   Hu, Dewen ^c  

^a JIANGNAN UNIVERSITY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTERIZED TOMOGRAPHY; IMAGE SEGMENTATION;

ADVANCED FUZZY CELLULAR NEURAL NETWORKS (AFCNN); LIVER IMAGES; SEGMENTED IMAGES;

NEURAL NETWORKS;

EID: 26844550012     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11539902_142     Document Type: Conference Paper

References (5)

1. Wang Shitong, Wang Min: A New Algorithm NDA Based on Fuzzy Cellular Neural Networks for White Blood Cell Detection [J], IEEE Trans. Information Technologies in Biomedicine (accepted with the revised version)
2. Fu Duan, Wang Shitong et al: Improved Fuzzy Cellular Neural Network IFCNN and Its Application in White Blood Cell Detection [J], Chinese J. Control and Decision (Accepted)
3. Yan Lirong, Hu Dewen et al: Image Segmentation of Serial CT liver Image Based on the Deformable Model [J], J. of SanXia University, (2002), 24(6): 529-532
4. W. L. Lee, K. S. Hsieh et al: A Study of Ultrasonic Liver Images Classification with Artificial Neural Networks Based on Fractal Geometry and Multiresolution Analysis, Biomedica Engineering-Applications, Basis & Communications, (2004), 16(2): 59-67
5. Wang Shitong, Lu Hongjun: On new fuzzy morphological associative memories, IEEE Trans. Fuzzy systems, (2004), 12(3): 316-323.