Editorial: Digital Imaging in Dermatology

Author

William V. Stoecker, Missouri University of Science and Technology
Randy Hays Moss, Missouri University of Science and TechnologyFollow

Abstract

In this article we discuss the recent surge in activity in digital imaging in dermatology. The key role of digital imaging as an adjunct to detection of early malignant melanoma, with application in following patients with the dysplastic nevus syndrome, is explored. Other current and future uses of digital imaging in image archiving, in clinical studies such as hair growth studies, and in telediagnosis are reviewed. We review the varying research activities of image analysis laboratories participating in the dermatology image researching group. Research laboratories included in this group are at Oregon Health Sciences University, Xerox Corporation, University of Arizona, University of Cincinnati, University of Munich, University of Wurzburg, University of Arkansas, Harvard University, Southern Illinois University-Edwardsville, Johns Hopkins University, National Institutes of Health, and University of Missouri at Columbia and Rolla. The role of new imaging devices in dermatology including the "nevoscope" and the dermatoscope is explored. Goals and challenges for the new technology are discussed.

Recommended Citation

W. V. Stoecker and R. H. Moss, "Editorial: Digital Imaging in Dermatology," Computerized Medical Imaging and Graphics, vol. 16, no. 3, pp. 145 - 150, Elsevier, May 1992.

The definitive version is available at https://doi.org/10.1016/0895-6111(92)90068-K

Department(s)

Chemistry

Second Department

Electrical and Computer Engineering

Keywords and Phrases

Biological Materials - Imaging Techniques; Biomedical Engineering - Computer Aided Diagnosis; Image Processing - Image Analysis; Imaging Techniques - Medical Applications; Dermatology; Digital Imaging; Malignant Melanoma; Biological Materials; Editorial; Forecasting; Human; Image Processing; Melanoma; Methodology; Skin Tumor; United States; Forecasting; Image Processing, Computer-Assisted; Skin Neoplasms; Color; Computer Vision; Computers; Image Analysis; Image Segmentation; Skin; Texture

International Standard Serial Number (ISSN)

0895-6111; 1879-0771

Document Type

Editorial

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 1992 Elsevier, All rights reserved.

Publication Date

01 May 1992

PubMed ID

1623489