Improved Mobile Application for Detection of Skin Diseasse using Artificial Neural Network (ANN)
Abstract
As technology advances, the use of mobile technology may be used in the practice and delivery of dermatologic care. Skin diseases are usually more common than other diseases. The presence of skin disease may change texture or color of the skin. We have proposed in this study an improved mobile application model that can detect and diagnose five type of skin disease namely: chicken pox, impetigo, infectious erythema, scabies and skin warts using artificial neural network (ANN). This study used object oriented analysis and design (OOAD) methodology and python programming language. Convolutional neural network with supervised learning algorithm was uses. Different sampling method and preprocessing of input data was explored to further improved the accuracy of the 97%.
Fields of Study & Subjects
Cutaneous Melanoma Detection and Management
Artificial Intelligence in Healthcare
Smart Agriculture and AI
Publication details
- Journal / source
- International Journal of Recent Development in Engineering and Technology
- Volume
- 15
- Issue
- 2
- Pages
- 625–629
- Publication date
- 22 February 2026
- Language
- EN