iToBoS project at PhoenixD Laser Day 2022


iToBoS project was presented in the PhoenixD Laser Day workshop, that took place in Herrenhausen Palace Hannover.

Strengths, Weaknesses and Threats of teledermatology


This article presents an analysis of the strengths, weaknesses and threats of teledermatology.

Primary and Secondary teledermatology


Primary teledermatology means a mobile dermatology linking directly patient and dermatologist, while secondary teledermatology is a way to enlarge the access to specialist care.

iToBoS project in Humboldt meets Leibniz


iToBoS project participated in the “Humboldt meets Leibniz” event, that took place in Herrenhausen Palace Hannover, Germany, from June 12th to June 14th.

Teledermatology: an overview


The main added value of teledermatology is to ensure a wider access to specialist skin care (“Telemedicine is a way of moving patient’s information rather than patients”).

Structured data classification


Data classification is the process of classifying data as a whole (e.g. database schema) or its parts (e.g. column name, column values) into categories. It can also be evaluated for its identifiability, sensitivity and/or confidentiality. In this work, our focus lies in and around structured (and semi structured) data.

iToBoS project in the RSA Conference 2022


iToBoS project was presented in the RSA Conference 2022 in San Francisco, through the talk “Privacy and Compliance for AI – Open-Source Tools and Industry Perspective”.

Skin Cancer AI tool tells you more about your cancer risk


Skin cancer is one of the most common cancers in the world. The rate of skin cancer increased dramatically during the latest four decades and continues to rise in many places nowadays.

Ugly Duckling and Melanoma


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.

Introduction to YOLO Object Detection Algorithm


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.