|
Volumn , Issue , 2010, Pages 5601-5604
|
Automatic learning of spatial patterns for diagnosis of skin lesions
|
Author keywords
[No Author keywords available]
|
Indexed keywords
AUTOMATIC DIAGNOSIS;
AUTOMATIC-LEARNING;
DIAGNOSTIC SYSTEMS;
FEATURE VECTORS;
K-MEANS CLUSTERING;
LOCAL BINARY PATTERNS;
LOCAL PATTERNS;
MALIGNANT MELANOMA;
MALIGNANT SKIN;
OPTIMAL PARAMETER;
SKIN LESION;
SPATIAL PATTERNS;
TEXTURE FEATURES;
WINDOW SIZE;
DERMATOLOGY;
ALGORITHM;
ARTICLE;
AUTOMATED PATTERN RECOGNITION;
HUMAN;
LEARNING;
MELANOMA;
METHODOLOGY;
SENSITIVITY AND SPECIFICITY;
SKIN TUMOR;
ALGORITHMS;
HUMANS;
LEARNING;
MELANOMA;
PATTERN RECOGNITION, AUTOMATED;
SENSITIVITY AND SPECIFICITY;
SKIN NEOPLASMS;
|
EID: 78650810588
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/IEMBS.2010.5626801 Document Type: Conference Paper |
Times cited : (7)
|
References (8)
|