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Volumn , Issue , 2005, Pages 118-121

Classification of liver diseases from CT images using BP-CMAC neural network

Author keywords

Back propagation; CMAC; Cyst; Hemagioma; Hepatoma; Liver

Indexed keywords

BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; DISEASES; IMAGE ANALYSIS; MEDICAL IMAGING; NEURAL NETWORKS; STORAGE ALLOCATION (COMPUTER);

EID: 27144463613     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (11)
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  • 5
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    • Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images
    • Y. M. Kadah, A. A. Frag, J. M. Zurada, A. M. Badawi, and A.-B. M. Youssef, "Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images," IEEE Trans. Med. Imag., vol. 15, no. 4, pp. 466-478, 1996.
    • (1996) IEEE Trans. Med. Imag. , vol.15 , Issue.4 , pp. 466-478
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  • 7
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    • Sun, Y.-N.1    Horng, M.-H.2    Lin, X.-Z.3    Wang, J.-Y.4
  • 8
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    • A Computer-aided diagnostic system to characterize CT focal liver lesions: Design and optimization of a neural network classifier
    • M. Gletsos, et al., "A Computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier," IEEE Trans. Inform. Technol. Biomed., vol. 7, no. 3, pp. 153-162, 2003.
    • (2003) IEEE Trans. Inform. Technol. Biomed. , vol.7 , Issue.3 , pp. 153-162
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  • 9
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    • A new approach to manipulator control: The cerebcllar model articulation controller (CMAC)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.