Conference Paper/Proceeding/Abstract 1543 views 258 downloads
Melanoma detection using a mobile phone app
Luciano E. Diniz,
K. Ennser,
Karin Ennser
SPEI Photonic West: Optics and Biophotonics in Low-Resource Settings II, Volume: 9699, Start page: 96990V
Swansea University Author: Karin Ennser
-
PDF | Accepted Manuscript
Download (14.33MB)
DOI (Published version): 10.1117/12.2212446
Abstract
Mobile phones have had their processing power greatly increased since their invention. As a direct result of Moore’s Law, this improvement has made available several applications that were impossible before due to the portability and popularity. The aim of this paper is to develop a mobile phone app...
| Published in: | SPEI Photonic West: Optics and Biophotonics in Low-Resource Settings II |
|---|---|
| Published: |
2016
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa28891 |
| Abstract: |
Mobile phones have had their processing power greatly increased since their invention. As a direct result of Moore’s Law, this improvement has made available several applications that were impossible before due to the portability and popularity. The aim of this paper is to develop a mobile phone app, integrated with its camera coupled to an amplifying lens, to help distinguish melanoma. The proposed application has the capability of processing skin mole images and suggesting, using a score system, if it is a case of melanoma or not. This score system is based on the ABCDE signs of melanoma, and takes into account the area, the perimeter and the colors present in the nevus of a human skin. The app has been calibrated and tested using images from the PH2 Dermoscopic Image Database from Pedro Hispano Hospital. The results show that the mobile app created can be useful, with an accuracy of up to 100% for malign cases and 80% for benign cases (including common and atypical moles), when used in the test group with less than a minute procesing time. |
|---|---|
| Keywords: |
melanoma, skin cancer, android tecnology, application, database, e-heatlh |
| College: |
Faculty of Science and Engineering |
| Start Page: |
96990V |