A novel automatic framework for scoliosis X-ray image retrieval

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn , Issue , 2007, Pages 2482-2485

  Xu, Zhiping ^a,b   Pan, Jinhong ^b   Zhang, Shiyong ^b  

^a IEEE

^b FUDAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CARBON FIBER REINFORCED PLASTICS; COBALT; COBALT COMPOUNDS; COMPUTER NETWORKS; EDGE DETECTION; ELECTRIC DISCHARGE MACHINING; IMAGE PROCESSING; IMAGE SEGMENTATION; INFORMATION RETRIEVAL; MATRIX ALGEBRA; STATISTICAL METHODS; X RAY ANALYSIS; X RAY APPARATUS;

SPINE CURVES; X-RAY IMAGING;

NEURAL NETWORKS;

EID: 51749117591     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4371348     Document Type: Conference Paper

References (8)

1. C.Amy , M. Mei , L. Phoebe, et al. , An expert system shell on medical image recognition and analysis. Finial year project, CSE, CUHK, 1996.
2. B. Jeffries, Computerized Measurement and Analysis of Scoliosis, Pediatric Radiology, vol. 134, 1980, pp 381-385.
3. B. Verdonck, R. Nijlunsing and F.A. Gerritsen, Computer Assisted Quantitative Analysis of Deformities of the Human Spine, MICCAI'98, 1998, pp 822-831.
4. Z.P. XU, Y.P ZHONG, S.Y ZHANG, Fast Shape Index Framework based on Principle Component Analysis using Edge Co-occurrence Matrix, KES 2006, Part III, LNAI 4253, pp. 390 - 397.
5. M. Partio ,B. Cramariuc and M. Gabbouj, Rock Texture Retrieval Using Gray Level Co-occurrence Matrix, Proc. of 5th Nordic Signal Processing Symposium, 2002.
6. R. M. Haralick, K. Shanmugam and I. Dinstein, Textural Features for Image Classification, IEEE Trans. on Systems, Man, and Cybernetics, vol. 6, 1973, pp 610-621..
7. J.H. Pan, P.A. Heng, X.M. Wu, Pansystems Topology: Panderivative Analysis on Interior-Exterior-Boundary and Image. Joint Conference of 12th WOSC & 4th IIGSS, Pittsburgh, USA, 2002.
8. R. Eckhorn , H.J. Reitboeck and M. Arndt, Feature linking via stimulus-evoked oscillations: experimental results from cat visual cortex and functional implications from a network model. International Joint Conference on Neural Networks, Washington DC, 1989, pp 723-730.