Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm

Journal of Investigative Dermatology

Volumn 138, Issue 7, 2018, Pages 1529-1538

  Han, Seung Seog ^a   Kim, Myoung Shin ^b   Lim, Woohyung ^c   Park, Gyeong Hun ^d   Park, Ilwoo ^e   Chang, Sung Eun ^f  

^a I Dermatology Clinic   (South Korea)

^b Inje University College of Medicine   (South Korea)

^c SK Telecom   (South Korea)

^d Hallym University College of Medicine   (South Korea)

^e Chonnam National University Medical School   (South Korea)

^f University of Ulsan College of Medicine   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ACTINIC KERATOSIS; ADULT; AREA UNDER THE CURVE; ARTICLE; BASAL CELL CARCINOMA; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CONTROLLED STUDY; DERMATOFIBROMA; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; HEMANGIOMA; HUMAN; LEARNING ALGORITHM; LENTIGO; MAJOR CLINICAL STUDY; MALE; MELANOMA; MIDDLE AGED; PIGMENTED NEVUS; PRIORITY JOURNAL; PYOGENIC GRANULOMA; RETROSPECTIVE STUDY; SEBORRHEIC KERATOSIS; SENSITIVITY AND SPECIFICITY; SKIN CARCINOMA; SKIN TUMOR; SQUAMOUS CELL SKIN CARCINOMA; VERRUCA VULGARIS; AGED; BIOPSY; DIAGNOSTIC IMAGING; DIFFERENTIAL DIAGNOSIS; FALSE POSITIVE RESULT; IMAGE PROCESSING; INFORMATION PROCESSING; PATHOLOGY; PHOTOGRAPHY; PREDICTIVE VALUE; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; SKIN; SOFTWARE; VALIDATION STUDY; VERY ELDERLY; YOUNG ADULT;

ADULT; AGED; AGED, 80 AND OVER; AREA UNDER CURVE; BIOPSY; DATASETS AS TOPIC; DEEP LEARNING; DIAGNOSIS, DIFFERENTIAL; FALSE POSITIVE REACTIONS; FEMALE; GRANULOMA, PYOGENIC; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; KERATOSIS, ACTINIC; KERATOSIS, SEBORRHEIC; LENTIGO; MALE; MIDDLE AGED; PHOTOGRAPHY; PREDICTIVE VALUE OF TESTS; ROC CURVE; SKIN; SKIN NEOPLASMS; SOFTWARE; WARTS; YOUNG ADULT;

EID: 85044366134     PISSN: 0022202X     EISSN: 15231747     Source Type: Journal    
DOI: 10.1016/j.jid.2018.01.028     Document Type: Article

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