Analysis and classification of normal and pathological skin tissue spectra using neural networks

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4129, Issue , 2000, Pages 196-206

  Bruch, Reinhard F ^a   Afanasyeva, Natalia I ^a   Gummuluri, Satyashree ^a  

^a UNIVERSITY OF NEVADA   (United States)

Author keywords

(10) FEW FTIR Spectroscopy; Cancer; Classification; Skin surface; Unsupervised neural network

Indexed keywords

CANCER; COMPETITIVE LEARNING; FIBER-OPTICAL SENSORS; FOURIER TRANSFORM INFRA REDS; MOLECULAR STRUCTURAL; SKIN SURFACES; SPECTROSCOPIC DIAGNOSTICS; UNSUPERVISED NEURAL NETWORKS;

CLASSIFICATION (OF INFORMATION); DIAGNOSIS; FOURIER TRANSFORM INFRARED SPECTROSCOPY; NEURAL NETWORKS; OPTICAL SENSORS; SKIN; SURFACE ANALYSIS; COMPUTER SIMULATION; FIBER OPTIC SENSORS; ONCOLOGY; TISSUE;

TISSUE; SKIN;

SKIN CANCER; SPECTROSCOPIC DIAGNOSTIC METHOD; UNSUPERVISED NEURAL NETWORK;

EID: 0033701707     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.390617     Document Type: Conference Paper

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