iToBoS presented in the "XI Conference on Prevention and Treatment of Skin Cancer"

16/06/2022.

iToBoS was presented in the “XI Jornada de Prevenció i Tractamentde Càncer Cutani”, (XI Conference on Prevention and Treatment of Skin Cancer). The event was held in Catalan.

iToBoS project at PhoenixD Laser Day 2022

16/06/2022.

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

Strengths, Weaknesses and Threats of teledermatology

16/06/2022.

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

Primary and Secondary teledermatology

15/06/2022.

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

14/06/2022.

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

11/06/2022.

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”).

iToBoS project in the RSA Conference 2022

10/06/2022.

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”.

Ugly Duckling and Melanoma

9/06/2022.

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

8/06/2022.

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.

Anonymization technologies

6/06/2022.

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).