Dermatology is one of the most common health problems in all parts of the world because it is easily transmitted from one person to another, so it must be controlled in the initial stages to prevent its spread, as poor guessing of skin diseases leads to complications and for this reason there was an urgent need to develop a system that helps doctors to diagnose dermatology in its early stages, after study and practical application on several methods used in machine learning we relied on deep convolution neural networks in building an intelligent system with 100% accuracy to identify some skin diseases. The deep convolution neural network has been improved by applying the particle swarm optimization algorithm for an optimal solution and reducing the detection time of skin disease
2020.
الطلاب
الهيئة التعليمية
الخريجين
الكليات
