Pattern Classification Techniques for Early Lung Cancer Diagnosis using an Electronic Nose

Frontiers in Artificial Intelligence and Applications

Volumn 178, Issue , 2008, Pages 693-697

  Blatt, Rossella ^a   Bonarini, Andrea ^a   Calabró, Elisa ^c   Matteucci, Matteo ^a   Torre, Matteo Della ^b   Pastorino, Ugo ^c  

^a POLITECNICO DI MILANO   (Italy)

^b SACMI Imola SC   (Italy)

^c NATIONAL CANCER INSTITUTE   (Italy)

Author keywords

E Nose; Electronic Nose; Fuzzy k NN; Lung Cancer; MOS Sensor Array; Olfactory Signal; Pattern Classification

Indexed keywords

BIOLOGICAL ORGANS; BIOMEDICAL SIGNAL PROCESSING; COMPUTER AIDED DIAGNOSIS; DISCRIMINANT ANALYSIS; DISEASES; ECONOMIC AND SOCIAL EFFECTS; LEARNING SYSTEMS; NEAREST NEIGHBOR SEARCH; NEURAL NETWORKS; PATTERN RECOGNITION; SENSOR ARRAYS;

E-NOSE; FUZZY K-NEAR NEIGHBOR; LUNG CANCER; LUNG CANCER DIAGNOSIS; MOS SENSOR ARRAY; MOS SENSORS; OLFACTORY SIGNAL; PATTERN CLASSIFICATION TECHNIQUES; PATTERNS CLASSIFICATION; SENSORS ARRAY;

ELECTRONIC NOSE;

EID: 78049287258     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-58603-891-5-693     Document Type: Conference Paper

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