Skin Cancer Risk Prediction

Basic information about the application

The mobile application is designed as a support to determine the risk of skin cancer. The application is created on the basis of scientific research and development of a medical system for early prevention of various diseases. For the purpose of detecting the risk of skin cancer, a new model of prediction based on Deep Learning, Python, and TensorFlow technologies has been developed. This mobile application was created by using several modern web and mobile technologies. The conducted scientific research and evaluation of the prediction model embedded in the mobile application has confirmed high prediction accuracy of skin cancer risk.

The goal of developing this mobile application is early skin cancer prevention, to provide the ability to check your skin spot for signs of skin cancer. All users are guaranteed anonymity and protection of personal data.

The application allows a user to take a photo of the skin spot or mole with its smartphone to assess the risk of skin cancer. Based on the input photo, the application as a result of the prediction, estimates the level of skin cancer risk.

Application features:

- Take a photo of the skin spot, predicting the risk of skin cancer

- The ability to record the prediction results in the local base of the cell phone, review the results of the performed predictions

- Comparison of the recorded skin spot photos which have been used in the prediction process

We hope that with this application we give our small contribution to early prevention and fight against the skin cancer.

DISCLAIMER:

The mobile app. is not intended to replace traditional methods of evaluation of skin cancer risk level.