Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm

Expert Systems with Applications

Volumn 42, Issue 15-16, 2015, Pages 6184-6195

  Shrivastava, Vimal K ^a   Londhe, Narendra D ^a,c   Sonawane, R S ^b   Suri, Jasjit S ^c,d  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b Psoriasis Clinic and Research Centre   (India)

^c BioMedical Technologies Inc   (United States)

^d IDAHO STATE UNIVERSITY   (United States)

Author keywords

Accuracy; Classification; Dermatology; Feature selection; Psoriasis; Reliability

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DERMATOLOGY; DIAGNOSIS; FEATURE EXTRACTION; LEARNING SYSTEMS; RELIABILITY; SOCIAL NETWORKING (ONLINE); SUPPORT VECTOR MACHINES; VECTOR SPACES;

ACCURACY; CLASSIFICATION ACCURACY; COMPUTER AIDED DIAGNOSTICS; DISEASE CLASSIFICATION; ON-LINE CLASSIFIER; ONLINE COMPONENTS; PSORIASIS; TRAINING SYSTEMS;

IMAGE CLASSIFICATION;

EID: 84937765089     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2015.03.014     Document Type: Article

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