Alkalmazás melanóma esélyének becslésére fényképfelvétel alapján

Abstract

This thesis presents a user-friendly desktop application for melanoma detection from skin lesion images. It is designed to offer a solution for both medical specialists and home users to receive a quick diagnosis and organise their results. The program is built on a lesion image classifier software - that is powered by a deep convolutional neural network ensemble - developed at the Dept. of Artificial Intelligence of Eötvös Loránd University