Mobile Application for Skin Cancer Detection
Student: Suleiman Abubakar (Project, 2025)
Department of Computer Science and Informatics
Kaduna State University, Kaduna, Kaduna State
Abstract
This project presents the development and implementation of mobile app for skin cancer detection and machine learning algorithm to detect skin cancer from images of skin lesions. Users can upload images of suspicious moles or lesions, and the app provides an instant assessment of the likelihood of skin cancer. The app’s accuracy is trained on a large dataset of labeled images, and it’s performance continuosly improved through user feedback and data analysis. By enabling early detection and prompt medical attention , this app has the potential to improve skin cancer outcomes and save lives. It’s user-friendly interface and accessibility make it a valuable tool for individuals, healthcare professionals and dermatologist alike.
Keywords
For the full publication, please contact the author directly at: suleimanabubakar2090@gmail.com
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Institutions
- Covenant Polytechnic, Aba, Abia State 1
- Covenant University, Canaan Land, Ota, Ogun State 4
- Crawford University of Apostolic Faith Mission Faith City, Igbesa, Ogun State 2
- Crescent University, Abeokuta, Ogun State 1
- Cross Rivers University of Technology, Calabar, Cross Rivers State 142
- Delta State Polytechnic, Ogwashi-Uku, Delta State 11
- Delta State Polytechnic, Otefe, Delta State 13
- Delta State University, Abraka, Delta State 139
- Ebonyi State University, Abakaliki, Ebonyi State 17
- Edo University, Iyamho, Edo State 10