Detail of the student project

Topic:Deep learning for skin cancer classification
Department:Katedra kybernetiky
Supervisor:Prof. Dr. Ing. Jan Kybic
Announce as:DP,BP,PMI,SOP
Description:Given a skin patch, (i) segment a lesion and (ii) determine, whether it is benign or malignant.
Several network architectures should be tried and the performance compared with a standard ABCD method. An additional task is to (iii) create a mobile phone or client/server application for the detection.
Bibliography:Esteva et al.: Dermatologist-level classification of skin cancer with deep neural networks, Nature, 2017

Fosu et al.: Mobile melanoma detection application for Android smart phones, NEBEC 2015
Realization form:SW projekt
Responsible person: Petr Pošík