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
- Sokoto State University, Sokoto, Sokoto State 42
- St. Albert The Great Major Seminary, Abeokuta. (affl. To University of Benin) 1
- Sule Lamido University, Kafin Hausa, Jigawa State 4
- Tai Solarin University of Education, Ijagun, Ogun State 18
- Tansian University, Oba, Anambra State 1
- Taraba State University, Jalingo, Taraba State 32
- Temple-Gate Polytechnic, Osisioma, Abia State 1
- The Oke-Ogun Polytechnic, Saki, Oyo State 6
- The Polytechnic, Ibadan, Oyo State 13
- THOMAS ADEWUMI UNIVERSITY, OKO-IRESE, KWARA STATE 1