Results of WHO melanoma programme international study on computerized image analysis

Bufalino, R.; Duvic, Madeleine; Rm, MacKie; Sober, Arthur J.; Stables, G.S.; Ferrario, M.; Cascinelli, Natale

doi:10.1097/00008390-199303000-00015

Cited by 2 publications

(2 citation statements)

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“…By establishing certain thresholds, virtually all melanomas at the National Cancer Institute of Milan could be detected and over half of the benign lesions could be excluded from concern (13). These results lead directly to the institution of a multicenter trial in which our center participated (16). From our results so far with "SKINVIEW', it appears that further refinements in the quality of image capture are needed to improve the sensitivity, specificity, and predictive value of the system.…”

Section: Discussionmentioning

confidence: 76%

“…Lesional parameters investigated include the evaluation of shape, maximum and minimum radius, and lesion border sharpness based on results from 451 pigmented lesion images from the National Cancer Institute in Milan, Italy. Preliminary results of the system have been promising and further research activities hope to improve the accuracy of the system (16). We report our preliminary experience with "SKINVIEW' and review the current status of digital imaging and ELM in the diagnosis of cutaneous melanoma.…”

Section: Introductionmentioning

confidence: 99%

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Computerized Digital Image Analysis: An Aid for Melanoma Diagnosis

Sober

Burstein

1994

The Journal of Dermatology

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Both digital imaging and epiluminescence microscopy hold promise for improved early detection of cutaneous melanoma. Several centers have been actively working in these areas during the past decade. These experiences and preliminary work based on the image capture of 83 pigmented lesions at our center using a prototype digital imaging system (SKINVIEW) are described. This system is based, in part, on the analysis of lesional morphologic features, such as shape, border, and radii. Histopathologic correlation was matched against these features to assess the efficacy of diagnosis. At our center, these parameters alone were not sufficient to discriminate between benign and malignant lesions, in part, because the melanomas were, in general, early lesions and many of the nevi were sufficiently clinically atypical to require removal for discrimination from melanoma. In addition, technical improvements in the image capturing and processing mechanism are needed. Rapid progress in this area is anticipated.

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Section: Discussionmentioning

confidence: 76%

Section: Introductionmentioning

confidence: 99%