| Literature DB >> 21892382 |
Tarun Wadhawan1, Ning Situ, Keith Lancaster, Xiaojing Yuan, George Zouridakis.
Abstract
We have developed a portable library for automated detection of melanoma termed SkinScan© that can be used on smartphones and other handheld devices. Compared to desktop computers, embedded processors have limited processing speed, memory, and power, but they have the advantage of portability and low cost. In this study we explored the feasibility of running a sophisticated application for automated skin cancer detection on an Apple iPhone 4. Our results demonstrate that the proposed library with the advanced image processing and analysis algorithms has excellent performance on handheld and desktop computers. Therefore, deployment of smartphones as screening devices for skin cancer and other skin diseases can have a significant impact on health care delivery in underserved and remote areas.Entities:
Year: 2011 PMID: 21892382 PMCID: PMC3164542 DOI: 10.1109/ISBI.2011.5872372
Source DB: PubMed Journal: Proc IEEE Int Symp Biomed Imaging ISSN: 1945-7928