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Gigapixel photography for skin cancer surveillance: a novel alternative to total-body photography.

Authors: Anar, Mikailov; Adam, Blechman;

Gigapixel photography for skin cancer surveillance: a novel alternative to total-body photography.

Abstract

There is substantial evidence supporting the use of cutaneous imaging in combination with standard total-body skin examinations for early detection and treatment of melanoma. In the last 2 decades, total-body photography (TBP) has been widely used in combination with standard total-body skin examinations for active skin cancer surveillance with proven clinical utility; however, the groundbreaking image detail provided by gigapixel photography (GP) could improve dermatologists' ability to monitor suspicious lesions and therefore could serve a critical role in supplementing traditional total-body skin examinations for skin cancer surveillance. Although it has been successfully implemented in other fields, future studies are required to determine the effectiveness of GP in dermatology.

Keywords

Technology, Skin Neoplasms, Population Surveillance, Photography, Humans, Melanoma, Early Detection of Cancer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Top 10%
Average
Related to Research communities
Cancer Research
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