@article{article_848630, title={An Application for Automated Diagnosis of Facial Dermatological Diseases}, journal={İzmir Katip Çelebi Üniversitesi Sağlık Bilimleri Fakültesi Dergisi}, volume={6}, pages={91–99}, year={2021}, author={Göçeri, Evgin}, keywords={Classification, deep learning, dermatological diseases, diagnosis, skin lesion}, abstract={Objective: Dermatological diseases are public health problems. Several factors including subjective diagnosis, lack of enough dermatologists, inability to go to a dermatologist due to old age, psychological problems or pandemic like coronavirus enforce to use automated techniques in dermatology. In the literature, there are many techniques on automated lesion classification to provide accurate, objective, reliable and reproducible results for the diagnosis of several dermatological diseases. However, although the techniques are promising, they become useless without a user interface for many patients or users who don’t have any prior knowledge on how to choose or set appropriate parameters and how to run source codes. Therefore, the objective of this work is to develop an application with an efficient user interface for patients and dermatologists. Material and Method: The application has been developed with Matlab (R2019) using digital photographs provided from public databases. Results: An application with an efficient and friendly user interface has been designed and implemented for patients with dermatological diseases. Conclusion: The application can present results of (i) lesion segmentation, (ii) image classification, and (iii) analysis according to time periods. It provides to view data easily and parametrization of the network. It can also be useful for dermatologists to analyze lesions or make decisions about diseases. Also, the application can be used for educational purpose since it provides information and tests on dermatological diseases. Therefore, it can be useful for both patients and researchers working in this area.}, number={3}, publisher={Izmir Katip Celebi University}, organization={The Scientific and Technological Research Council of Turkey (TUBITAK)}