APPLICATION OF MACHINE LEARNING AND NEURAL NETWORK TO DETECT SKIN DISEASES

APPLICATION OF MACHINE LEARNING AND NEURAL NETWORK TO DETECT SKIN DISEASES

Vijay Chakole¹, Kiran Padmagiriwar², Avinash Gaidhane³, Puja Badole⁴, Rutuja Bramhankar⁵

Department of Electronics Engineering, K. D. K. College of Engineering, Nagpur

RTMNU University, Nagpur

Abstract

The proposed diagnosis system using image processing techniques and MATLAB for the pre-processing and analysis of skin images is a promising approach to early detection and treatment of skin diseases. Early detection is crucial for effective treatment and prevention of the spread of the disease to other people. Additionally, the proposed system could provide cost-effective and efficient results to users, which could potentially increase the number of people seeking medical help for skin diseases. However, it is important to ensure the accuracy of the system's diagnosis and treatment recommendations before implementation. Rigorous testing and assessment should be conducted to validate the system's effectiveness and safety for use by users.

Keywords: Skin disease, MATLAB, image processing