| List |
| Topic: | Deep learning for skin cancer classification |
|---|---|
| Department: | Katedra kybernetiky |
| Supervisor: | prof. Dr. Ing. Jan Kybic |
| Announce as: | Diplomová práce, Bakalářská práce, Semestrální projekt |
| 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 |