Visually examining patients for skin cancer is a time consuming and manual task. The dermatologist needs to carefully examine the tissue and if he/she believes it is cancerous, then biopsy will need to confirm the findings. Automating this process by analysing images of the skin tissue will accelerate and improve effectiveness of further treatment.
With input of thousands of pictures with all kind of different types of melanoma as well as healthy tissue a deep learning algorithm is created to automatically diagnose patients using image recognition.
Application integrated in CRM that can be consulted at any time