Enhanced melanoma diagnosis with multispectral digital skin lesion analysis

Aaron S. Farberg; Alex M. Glazer; Richard R. Winkelmann; Natalie Tucker; Richard White; Darrell S. Rigel

Enhanced melanoma diagnosis with multispectral digital skin lesion analysis

Aaron S. Farberg
, Alex M. Glazer
, Richard R. Winkelmann
, Natalie Tucker
, Richard White
, Darrell S. Rigel

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Multispectral digital skin lesion analysis (MSDSLA) is both sensitive and specific in the detection of malignant melanoma by dermatologists and nondermatologists, and data have shown that MSDSLA can be a valuable tool in the evaluation of pigmented skin lesions (PSLs). This study aimed to aggregate data from 7 prior studies to provide a comprehensive overview and evaluate the consistency of the effects of MSDSLA when used in conjunction with clinical examination and dermoscopy to evaluate PSLs.

Original language	English
Pages (from-to)	338-340
Number of pages	3
Journal	Cutis
Volume	101
Issue number	5
State	Published - May 2018
Externally published	Yes

Cite this

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title = "Enhanced melanoma diagnosis with multispectral digital skin lesion analysis",

abstract = "Multispectral digital skin lesion analysis (MSDSLA) is both sensitive and specific in the detection of malignant melanoma by dermatologists and nondermatologists, and data have shown that MSDSLA can be a valuable tool in the evaluation of pigmented skin lesions (PSLs). This study aimed to aggregate data from 7 prior studies to provide a comprehensive overview and evaluate the consistency of the effects of MSDSLA when used in conjunction with clinical examination and dermoscopy to evaluate PSLs.",

author = "Farberg, \{Aaron S.\} and Glazer, \{Alex M.\} and Winkelmann, \{Richard R.\} and Natalie Tucker and Richard White and Rigel, \{Darrell S.\}",

year = "2018",

month = may,

language = "English",

volume = "101",

pages = "338--340",

journal = "Cutis",

issn = "0011-4162",

publisher = "Frontline Medical Communications Inc.",

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T1 - Enhanced melanoma diagnosis with multispectral digital skin lesion analysis

AU - Farberg, Aaron S.

AU - Glazer, Alex M.

AU - Winkelmann, Richard R.

AU - Tucker, Natalie

AU - White, Richard

AU - Rigel, Darrell S.

PY - 2018/5

Y1 - 2018/5

N2 - Multispectral digital skin lesion analysis (MSDSLA) is both sensitive and specific in the detection of malignant melanoma by dermatologists and nondermatologists, and data have shown that MSDSLA can be a valuable tool in the evaluation of pigmented skin lesions (PSLs). This study aimed to aggregate data from 7 prior studies to provide a comprehensive overview and evaluate the consistency of the effects of MSDSLA when used in conjunction with clinical examination and dermoscopy to evaluate PSLs.

AB - Multispectral digital skin lesion analysis (MSDSLA) is both sensitive and specific in the detection of malignant melanoma by dermatologists and nondermatologists, and data have shown that MSDSLA can be a valuable tool in the evaluation of pigmented skin lesions (PSLs). This study aimed to aggregate data from 7 prior studies to provide a comprehensive overview and evaluate the consistency of the effects of MSDSLA when used in conjunction with clinical examination and dermoscopy to evaluate PSLs.

UR - https://www.scopus.com/pages/publications/85047747691

M3 - Article

C2 - 29894523

AN - SCOPUS:85047747691

SN - 0011-4162

VL - 101

SP - 338

EP - 340

JO - Cutis

JF - Cutis

IS - 5

ER -

Enhanced melanoma diagnosis with multispectral digital skin lesion analysis

Abstract

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