Automated epiluminescence miscroscopy - Tissue counter analysis using CART and 1-NN in the diagnosis of melanoma

Skin Research and Technology

Volumn 9, Issue 2, 2003, Pages 105-110

  Gerger, Armin ^a   Stolz, Wilhelm ^b   Pompl, Rene ^c   Smolle, Josef ^a  

^a UNIVERSITY OF GRAZ   (Austria)

^b UNIVERSITY OF REGENSBURG   (Germany)

^c MAX PLANCK INSTITUT FÜR EXTRATERRESTRISCHE PHYSIK   (Germany)

Author keywords

Automated epiluminescence microscopy; Classification; Machine learning; Melanoma; Segmentation; Tissue counter analysis

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ARTICLE; AUTOMATION; BENIGN TUMOR; CANCER CLASSIFICATION; COMPUTER PROGRAM; CONTROLLED STUDY; DIAGNOSTIC TEST; DIAGNOSTIC VALUE; EPILUMINESCENCE MICROSCOPY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; LEARNING; MACHINE; MAJOR CLINICAL STUDY; MALIGNANT NEOPLASTIC DISEASE; MELANOCYTE; MELANOMA; NEVUS; PREDICTION; REGRESSION ANALYSIS; SENSITIVITY AND SPECIFICITY; SKIN DEFECT; SKIN EXAMINATION; STANDARDIZATION; TUMOR DIFFERENTIATION;

EID: 0037951749     PISSN: 0909752X     EISSN: None     Source Type: Journal    
DOI: 10.1034/j.1600-0846.2003.00028.x     Document Type: Article

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