Deep Learning-Based Multiple Skin Lesion Classification

This paper proposes a novel system that addresses the crucial task of accurately classifying skin lesions using the power of neural networks. Additionally, this innovative tool incorporates an automatic evaluation feature specifically designed to analyze tissue lesions. The primary aim of the proposed system is to provide invaluable assistance to patients and dermatologists during the initial stages of skin disease by facilitating the identification of the disease type through captured images of the affected area. The remarkable findings from implementing this advanced system substantiate its potential to enhance general practitioners’ diagnostic capabilities significantly. By leveraging cutting-edge neural network technology and the advantages of automated assessment, this system enables medical professionals to diagnose various skin conditions efficiently and effectively. The implications of this system are far-reaching, as it has the potential to reduce the occurrence of further complications and morbidity associated with delayed or inaccurate diagnoses.