12/09/2022.
Continuing our blog with introduction to machine learning for iToBoS, we present here a general overview of neural networks. Starting from basic definitions of important concepts, we will give a primer as meant for beginner. We keep discussions only to various types of neural networks. The functionality is also elucidated here.
9/09/2022.
The engineering tasks of the iToBoS project can be divided into two main groups. On the one hand, the design and construction of the total body scanner, that is the hardware. On the other hand, the design and implementation of the data processing and artificial intelligence software that will analyse all the information (skin images and clinical data) and generate a comprehensive output for the clinicians.
09/09/2022.
iToBoS was presented in the 31st European Academy of Dermatology and Venereology (EADV) Congress in Milan, Italy, on September 09, 2022.
8/09/2022.
The first presential meetings of iToBoS project after the pandemic situation took place last 7th September 2022 in Girona.
7/09/2022.
As introduced in the previous part of this blog series, Gaia-X is a European project aiming to reduce Europe’s dependence on outside corporations by achieving a secure and open data-driven ecosystem.
6/09/2022.
The scientific work "Registration of polarimetric images for in vivo skin diagnostics", with the support of the iToBoS project, has been published.
5/09/2022.
Over the last decade, the importance of data has been growing substantially, with no end in sight. With the rise of automation and artificial intelligence, digital information is generated and processed at an ever-increasing rate.
4/09/2022.
University of Trieste started for the fourth year a cycle of lessons in the secondary schools to educate students to a proper sun exposure.
3/09/2022.
iToBoS participated in the 10th EPS-QEOD Europhoton Conference that took place in Hannover, Germany from August 28 to September 2, 2022.
2/09/2022.
The high performance of machine learning algorithms for the task of skin lesion classification has been shown over the past few years. However, real-world implementations are still scarce.