One of the key objectives of the iToBoS project is to educate the general public about the most dangerous skin cancer melanoma and the visual signs that could help in early detection.
YOLO (You Only Look Once) is an algorithm that uses neural networks to offer real-time detection. Its popularity is due to being much faster than other methods while still providing a good accuracy. It is fast by design: it has fewer convolutional layers (9 instead 24) and fewer filters.
Anonymization is a process which aims to modify the data such that individuals are not identified (and their identification - by means of correlation with other data sources for example – is not probable).
Skin is the largest organ of human body and skin cancer is the most common cancer in the world. Skin cancer is deadly at late stage when cancer spreads to internal organs. However, if being detected early, skin cancer can be cured with high survival rate.
iToBoS project recently took part in a round table discussion on the ethical use of artificial intelligence (AI) in city infrastructure and planning, led by the Economics Program at the Center for Strategic and International Studies (CSIS).
Image colour correction is the task of altering the colours in an image to match the wanted colours, usually the colours humans perceived at the scene acquisition. One popular way of doing that is by using a Colour Checker.
The scientific work "Applying Artificial Intelligence Privacy Technology in the Healthcare Domain", supported by iToBoS project, has been published.
Convolutional neural networks are a type of neural networks often used to perform machine learning techniques on images.
iToBoS project was presented in Actu Toulouse, a digital newspaper that publishes articles on the daily life of the inhabitants of Toulouse and its region, portraits, ideas for outings, tips and practical information. The article is written in French.
Generative Adversarial Networks are unsupervised neural networks that are able to analyse information from a dataset and produce similar new samples.