More than 600 hours of processing time invested in training and improving the neural networks.
Identify different types of benign & malignant spots in the skin, just by taking a photo or uploading an image (ATTENTION: CONSULT A CERTIFIED DERMATOLOGIST FOR A MORE RELIABLE DIAGNOSIS).
If you decide to use this app, it is highly recommended to load a photo made with a dermatoscope as regular pictures don't show small details (YOU SHALL USE IMAGES OBTAINED WITH A DERMATOSCOPE TO GET MORE ACCURATE RESULTS).
Resulting validation general accuracy: 70.5% (note that a random result will obtain 12.5% accuracy given the 8-categories identification; in a basic Melanoma-Not Melanoma model it's 50.0%, which is not the case; also the model was trained with 5 different levels of detail instead of 1, which reduces bias but it results in lower validation accuracy).
Data safety
Safety starts with understanding how developers
collect and share your data. Data privacy and security practices may vary based
on your use, region, and age. The developer provided this information and may
update it over time.
