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Volumn 4255, Issue , 2001, Pages 67-79

New features for detecting cervical pre-cancer using hyperspectral diagnostic imaging

Author keywords

Cervical cancer; Cervical intraepithelial neoplasia; Fluorescence imaging spectroscopy; Hyperspectral imaging; Image processing; Neural network; Pattern recognition; Principal component analysis; Signal processing; Wavelet transform

Indexed keywords

COLOR IMAGE PROCESSING; FLUORESCENCE; IMAGING TECHNIQUES; NEURAL NETWORKS; ONCOLOGY; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; SPECTRUM ANALYSIS; TISSUE; WAVELET TRANSFORMS;

EID: 0034935421     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.426747     Document Type: Article
Times cited : (5)

References (17)
  • 9
    • 0032636624 scopus 로고    scopus 로고
    • Principal component analysis in the wavelet domain: New features for underwater object recognition
    • Detection and Remediation Technologies for Mines and Mine-like Targets IV A. C. Dubey, J. F. Harvey J. T. Broach and R. E. Dugan, Editors
    • (1999) Proceedings of SPIE , vol.3710 , pp. 697-708
    • Okimoto, G.S.1    Lemonds, D.2
  • 11
    • 0000447531 scopus 로고    scopus 로고
    • Active biosonar systems based on multiscale signal representations and hierarchical neural networks
    • Detection and Remediation Technologies for Mines and Minelike Targets III, A. C. Dubey, J. F. Harvey, J. T. Broach, Editors
    • (1998) Proceedings of SPIE , vol.3392 , pp. 316-323
    • Okimoto, G.S.1    Shizumura, R.2    Lemonds, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.