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Volumn 3, Issue , 2006, Pages

An fpga based coprocessor for cancer classification using nearest neighbour classifier

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); ONCOLOGY; ONLINE SYSTEMS; PROGRAM PROCESSORS; REAL TIME CONTROL;

EID: 33947612999     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (19)
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  • 9
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    • Design and implementation of a high level programming environment for FPGA-based image processing
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    • D. Crookes et al., "Design and implementation of a high level programming environment for FPGA-based image processing," IEE Proceedings on Vision, Image and Signal Processing, August 2000.
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    • F. Bensaali, A. Amira, and A. Bouridane, "Accelerating matrix product on reconfigurable hardware for image processing applications," IEE Proceedings on Circuits, Devices and Systems, vol. 152, no. 3, pp. 236-246, June 2005.
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  • 11
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    • An FPGA based coprocessor for GLCM and Haralick texture features and their application in prostate cancer classification
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  • 12
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    • An FPGA based coprocessor for the classification of tissue patterns in prostatic cancer
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    • M. A. Tahir, A. Bouridane, and F. Kurugollu, "An FPGA based coprocessor for the classification of tissue patterns in prostatic cancer," in 14th International Conference on Field Programmable Logic and its Applications (FPL), Lecture Notes in Computer Science. 2004, pp. 771-780, Springer Verlag.
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    • Tahir, M.A.1    Bouridane, A.2    Kurugollu, F.3
  • 14
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    • A new, cellular automaton-based, nearest neighbor pattern classifier and its VLSI implementation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.