Internet-based program for automatic discrimination of dermoscopic images between melanomas and Clark naevi [9]

British Journal of Dermatology

Volumn 150, Issue 5, 2004, Pages 1041-

  Oka, H ^a   Hashimoto, M ^a   Iyatomi, H ^b   Argenziano, G ^c   Soyer, H P ^d   Tanaka, M ^a  

^a KEIO UNIVERSITY SCHOOL OF MEDICINE   (Japan)

^b KEIO UNIVERSITY   (Japan)

^c SECOND UNIVERSITY OF NAPLES   (Italy)

^d UNIVERSITY OF GRAZ   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; AUTOMATION; CALCULATION; CLARK NEVUS; COMPUTER ANALYSIS; COMPUTER PROGRAM; DIAGNOSTIC ACCURACY; EPILUMINESCENCE MICROSCOPY; HUMAN; INTERNET; LETTER; MEDICAL TECHNOLOGY; MELANOMA; NEVUS; PIGMENT DISORDER; PRIORITY JOURNAL; STANDARDIZATION; STATISTICAL ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; DIFFERENTIAL DIAGNOSIS; METHODOLOGY; PIGMENTED NEVUS; SKIN TUMOR;

DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, DIFFERENTIAL; HUMANS; INTERNET; MELANOMA; NEVUS, PIGMENTED; SKIN NEOPLASMS; SOFTWARE;

EID: 3042826890     PISSN: 00070963     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1365-2133.2004.05942.x     Document Type: Letter

References (2)

1. Rubegni P, Burroni M, Cevenini G et al. Digital dermoscopy analysis and artificial neural network for the differentiation of clinically atypical pigmented skin lesions: a retrospective study. J Invest Dermatol 2002; 119: 471-4.
2. Elbaum M, Kopf AW, Rabinovitz HS et al. Automatic differentiation of melanoma from melanocytic nevi with multispectral digital dermoscopy: a feasibility study. J Am Acad Dermatol 2001; 44: 207-18.