Evaluation of digital dermoscopy in a pigmented lesion clinic: Clinician versus computer assessment of malignancy risk

被引：20

作者：

Boldrick, Jennifer C.

Layton, Christle J.

Nguyen, Josephine

Swetter, Susan M.

机构：

[1] Stanford Univ, Med Ctr, Dept Dermatol, Pigmented Les & Cutaneous Melanoma Clin, Stanford, CA 94305 USA

[2] Vet Affairs Palo Alto Hlth Care Syst, Serv Dermatol, Palo Alto, CA USA

来源：

JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY | 2007年 / 56卷 / 03期

关键词：

D O I：

10.1016/j.jaad.2006.08.033

中图分类号：

R75 [皮肤病学与性病学];

学科分类号：

100206 ;

摘要：

Digital dermoscopy systems employ computer-based algorithms to quantitate features of pigmented skin lesions (PSLs) and provide an assessment of malignancy risk. We evaluated interobserver concordance of PSL malignancy risk between a pigmented lesion specialist and an artificial neural network (ANN)-based automated digital dermoscopy System. While digital dermoscopy provides a reliable means of image capture, storage, and comparison of PSLs over time, the ANN algorithm requires further training and validation before the malignancy risk assessment feature can be widely used in clinical practice.

引用

页码：417 / 421

页数：5

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