Enhancing Dermatological Diagnosis through Machine Learning: A Multi-Class Skin Disease Detection System with Convolutional Neural Network.
This research paper proposes a novel approach to detecting skin diseases using machine learning techniques. The proposed system utilizes image processing techniques to extract features from skin lesion images and then applies machine learning algorithms to classify the lesion into different categories. The proposed system can be evaluated using a large dataset of skin lesion images and the machine can learn itself based on the provided data and achieve high accuracy in detecting various skin ...