2003
DOI: 10.1001/archderm.139.2.195
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Improved Identification of Potentially Dangerous Pigmented Skin Lesions by Computerized Image Analysis

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Cited by 26 publications
(14 citation statements)
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“…Geometric, structural and colour features of examined lesions can be objectively evaluated; some computers even determine the definite diagnosis. Several studies have already confirmed the efficacy of digital computer analysis of dermatoscopical images for the diagnosis of melanocytic skin lesions 6–10 . However, the clinical application of this method in daily practice has not been clarified.…”
Section: Introductionmentioning
confidence: 99%
“…Geometric, structural and colour features of examined lesions can be objectively evaluated; some computers even determine the definite diagnosis. Several studies have already confirmed the efficacy of digital computer analysis of dermatoscopical images for the diagnosis of melanocytic skin lesions 6–10 . However, the clinical application of this method in daily practice has not been clarified.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the positive predictive value (Pap Classes III-V) of Papnet was slightly but not significantly better (55% vs. 51%) [31]. Over the course of the next 10 years, further development and ultimately routine usage of such computer-assisted diagnosis systems for a whole host of other cancer types such as in the field of dermatology [32] is sure to increase, with the main effect being an increase in availability of highly accurate diagnoses and a decrease in labor costs associated with such screening procedures.…”
Section: Clinical Decision Support Systemsmentioning
confidence: 97%
“…Their potential benefits are incalculable, but there are considerable difficulties involved in their development and use in clinical practice 1 . It has been widely stated that their accuracy can achieve the same range as dermoscopic classification by experts or even that they can obtain better accuracy 1,2,6 . A few authors have recently found them to be far less accurate than initially thought, 7,8 suggesting that the promising initial results might have been a result of intentional or unintentional selection bias of tested images 8 .…”
Section: Commentsmentioning
confidence: 99%
“…The accuracy of automated programs for the computerized, dermoscopic diagnosis of melanoma has been found to be similar or superior to that of expert clinicians, 1,2 even in evidence‐based meta‐analysis 1 . Most of this research has been performed in pigmented skin lesion (PSL) units, where the number of diagnostically challenging PSLs is high.…”
mentioning
confidence: 99%