A flexible controller for a complex device

1/02/2023.

Each one of the iToBoS full-body scanners features 15 cameras that will take pictures of different regions of the patient’s body. To cover these regions with high resolution, the cameras will be distributed in 5 arches and will scan their region thanks to several motors.

iToBoS project presented in the Giornate di Therapia in Dermovenereologia

29/01/2023.

iToBoS was presented at the Giornate di Therapia in Dermovenereolgia, XX Reunione.

Camera Planning Simulator

27/01/2023.

The University of Girona has been developing an iToBoS scanner simulator to show how the scanning process works, both internally (what the underlying algorithms essentially do) and externally (movement of the bed and cameras).

The future of optical technologies

24/01/2023.

In this video Prof. Dr. Bernhard Roth talks about the future of optics with focus on the Cluster of Excellence PhoenixD at Leibniz University Hannover, technical partner of iToBoS project.

Mechanical and Electrical design standards of medical devices (III)

19/01/2023.

As mentioned in previous blog posts, we continue with interesting topics regarding standards of medical devices.

iToBoS project presented in the 11th European School of Dermato-Oncology (ESDO)

14/01/2023.

iToBoS was presented at the 11th European School of Dermato-Oncology Update on Cutaneous Oncology (ESDO).

Novel optical technologies in the fight against skin cancer

13/01/2023.

This video introduces the application of novel optical technologies in the fight against skin cancer of the international project iToBoS.

Mechanical and electrical design standards of medical devices (II)

9/01/2023.

There are some curiosities that show the IEC60601-1 standard regarding the general requirements for safety and essential performance of medical devices.

What to Hide from Your Students: Attention-Guided Masked Image Modeling

3/01/2023.

The scientific work "What to Hide from Your Students: Attention-Guided Masked Image Modeling", with the support of the iToBoS project, published in ECCV 2022: Computer Vision – ECCV 2022 pp 300–318.

Using machine learning for assessing melanoma risk based on genetic data

2/01/2023.

The natural progression of a disease depends on genetic inheritance-susceptibility of an individual and several environmental factors.