M-Health: Skin Disease Analysis System Using Smartphone's Camera
Open accessAbstract
The increasing use of Smartphone and Tablet, their on-board sensors and increasing computational power show immense promise for improved mobile health technologies, one of the medical areas which needs this technologies is skin analysis to identify diseases. In this paper, we describe an innovative development of a low cost smartphone based intelligent system using integrated camera. The advantage of this solution is that patients in remote areas, poor and developing countries can scan, analyze and make regular skin examinations in any place. In this paper, an Artificial Neural Network algorithm is used to analyze the skin images to identify cancer.
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khan, Z. F., & Alotaibi, S. R. (2020) · Journal of Healthcare Engineering · doi:10.1155/2020/8894694 · Cited by 235 · see citing works
- Authors
- Bourouis, A., Zerdazi, A., Feham, M., & Bouchachia, A.
- Affiliations
- Bournemouth University (GB)
- Corresponding author
- Bouchachia, Abdelhamid
- Venue
- Procedia Computer Science
- Publisher
- Elsevier BV
- Published
- 2013
- Volume
- 19
- Pages
- 1116-1120
- ISSN
- 1877-0509 (ISSN-L)
- OpenAlex
- W2036443070
- Cited by
- 62
- References
- 12
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 1 · 2022: 8 · 2021: 5 · 2020: 10 · 2019: 4 · 2018: 5 · 2017: 6 · 2016: 6 · 2015: 8 · 2014: 1 · 2013: 1
- FWCI
- 36.57
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Procedia Computer Science (publishedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- mobile health, skin disease detection, smartphone camera, skin cancer diagnosis, dermatological image analysis, artificial neural networks, remote healthcare access
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