We have developed a portable library for automated detection of melanoma termed SkinScan c 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.
Wadhawan, et al. proposed a portable library for melanoma detection on handheld devices based on the well known bag-of-features framework REF .
SkinScan©: A portable library for melanoma detection on handheld devices
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Computer Science Medicine