| Chapter title |
Melanoma and other skin lesion detection using smart handheld devices.
|
|---|---|
| Chapter number | 30 |
| Book title |
Mobile Health Technologies
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2172-0_30 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2171-3, 978-1-4939-2172-0
|
| Authors |
Zouridakis G, Wadhawan T, Situ N, Hu R, Yuan X, Lancaster K, Queen CM, George Zouridakis, Tarun Wadhawan, Ning Situ, Rui Hu, Xiaojing Yuan, Keith Lancaster, Courtney M. Queen, Zouridakis, George, Wadhawan, Tarun, Situ, Ning, Hu, Rui, Yuan, Xiaojing, Lancaster, Keith, Queen, Courtney M. |
| Abstract |
Smartphones of the latest generation featuring advanced multicore processors, dedicated microchips for graphics, high-resolution cameras, and innovative operating systems provide a portable platform for running sophisticated medical screening software and delivering point-of-care patient diagnostic services at a very low cost. In this chapter, we present a smartphone digital dermoscopy application that can analyze high-resolution images of skin lesions and provide the user with feedback about the likelihood of malignancy. The same basic procedure has been adapted to evaluate other skin lesions, such as the flesh-eating bacterial disease known as Buruli ulcer. When implemented on the iPhone, the accuracy and speed achieved by this application are comparable to that of a desktop computer, demonstrating that smartphone applications can combine portability and low cost with high performance. Thus, smartphone-based systems can be used as assistive devices by primary care physicians during routine office visits, and they can have a significant impact in underserved areas and in developing countries, where health-care infrastructure is limited. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 96 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 15% |
| Researcher | 14 | 14% |
| Student > Master | 14 | 14% |
| Student > Doctoral Student | 10 | 10% |
| Student > Bachelor | 8 | 8% |
| Other | 18 | 18% |
| Unknown | 19 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 21% |
| Social Sciences | 8 | 8% |
| Computer Science | 8 | 8% |
| Engineering | 7 | 7% |
| Agricultural and Biological Sciences | 6 | 6% |
| Other | 22 | 22% |
| Unknown | 26 | 27% |