Skin Disease Classification Using Deep Learning Models and Machine Learning

Skin Disease Classification Using Deep Learning Models and Machine learning

Akshatha R1, Dr. Ravindra P Rajput 2

1 Student, Dept of Electronics and Communication Engineering, University BDT College of Engineering,

Karnataka ,India. akshathar808@gmail.com

2Chairman ,Dept of Electronics and Communication Enginnering, University BDT College of Engineering,

Karnataka, India.

Abstract— Skin disorders can indeed have a significant impact on people's lives, and timely and accurate diagnosis is crucial for effective treatment. Dermatologists play a vital role in diagnosing and treating various skin conditions. As a result, a technique that is less expensive, faster, and more easily accessible is required. As a more efficient and dependable method, a machine learning skin disease identification model is given. In this paper, a deep learning-machine learning combined is designed to improve skin disease classification. Machine learning is used to classify and extract features from convolutional neural networks. The results show that by applying the classification approach, dermatologists can readily diagnose skin lesions and provide suitable treatment to patients in order to save their lives.

Keywords—Machine learning, skin diseases, Convolution neural network, Deep learning