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Volumn 94, Issue 3, 2014, Pages 265-270

Image training, using random images of melanoma, performs as well as the ABC(D) criteria in enabling novices to distinguish between melanoma and mimics of melanoma

Author keywords

ABCD; Diagnosis; Image training; Melanoma; Skin cancer

Indexed keywords

ABC METHOD; ADULT; AGED; ARTICLE; CANCER PATIENT; CONTROLLED STUDY; DERMATOLOGY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIGITAL IMAGING; EXPERIMENTAL STUDY; FEMALE; HEALTH EDUCATION; HUMAN; IMAGE ANALYSIS; IMAGE INTENSIFIER; IMAGE QUALITY; IMAGE TRAINING; IMAGING SOFTWARE; MAJOR CLINICAL STUDY; MALE; MEDICAL STUDENT; MELANOMA; NEVUS; PRIORITY JOURNAL; RATING SCALE; SEBORRHEIC KERATOSIS; SENSITIVITY AND SPECIFICITY; TRAINING; WEB BROWSER; ADOLESCENT; AGE; CLINICAL COMPETENCE; COMPARATIVE STUDY; DECISION SUPPORT SYSTEM; DIFFERENTIAL DIAGNOSIS; EARLY DIAGNOSIS; FACTUAL DATABASE; MEDICAL STAFF; MIDDLE AGED; NOMENCLATURE; PATHOLOGY; PHOTOGRAPHY; PREDICTIVE VALUE; SKIN TUMOR; TASK PERFORMANCE; YOUNG ADULT;

EID: 84899921689     PISSN: 00015555     EISSN: 16512057     Source Type: Journal    
DOI: 10.2340/00015555-1733     Document Type: Article
Times cited : (5)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.