The World Cancer Day

The World Cancer Day takes place every year on February 4. It aims to prevent millions of deaths each year by raising awareness and education about cancer, and pressing governments and individuals across the world to take action against the disease.

Polarized light for imaging of the human skin in iToBoS

In this video we show why the researchers at Leibniz University Hannover use polarized light for imaging of the human skin. The cross-polarization filters specular reflections at the uppermost skin layer and enables the team to look deeper into the skin. This is of importance for the early detection of melanoma.

A flexible controller for a complex device

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.

Camera Planning Simulator

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

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)

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

Novel optical technologies in the fight against skin cancer

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)

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

Using machine learning for assessing melanoma risk based on genetic data

The natural progression of a disease depends on genetic inheritance-susceptibility of an individual and several environmental factors. The human genome contains millions of genetic variants (single nucleotide polymorphisms-SNPs).

Data augmentation and normalization in Skin Cancer AI

Skin Cancer AI is a novel AI solution for early detection of skin cancer.