iToBoS impact in 2023

22/12/2023.

As we approach the end of the year, we want to take a moment to reflect on the journey and some achievements of the Intelligent Body Scanner for Early Detection of Melanoma (iToBoS) project throughout 2023.

Great media coverage of the iToBoS project

21/12/2023.

The iToBoS project is having a significant media impact.

Brain2Music: reconstructing music from human brain activity

18/12/2023.

How we experience music is an interesting topic in neuroscience, and with functional magnetic resonance imaging (fMRI) is possible the exciting task of reconstructing music from brain activity.

SkinGAN Project using LaMa-Fourier

14/12/2023.

The goal of this project is to help protect the privacy of customers by removing tattoos that would enable them to be identified. This is an important issue when managing personal images, as is the case with the iToBoS.

3D-aware Conditional Image Synthesis

11/12/2023.

Image-to-image translation models can output a high-resolution generated image given a 2D label map as an input.

No tan is safe – here’s what to do instead

7/12/2023.

Here at iToBoS, we strongly suggest you avoid getting a suntan. You certainly need some sunshine in your life, but UV dose high enough to cause a tan is already much higher than the dose needed for vitamin D production.

iToBoS participated in the Workshop "Reflection on future collaboration and support actions" organized by the EC

5/12/2023.

The European Commission has organised a series of 3 invitation-only online workshops for consortium members of EU-funded projects and initiatives on data-driven approaches in Cancer Research and data infrastructures relevant to cancer.

EfficientNetV2: Smaller Models & Faster Training

1/12/2023.

EfficientNet was first proposed in the original paper of Mingxing Tan & Quoc V Le in 2019, namely EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

Exploiting EfficientNet Models: A powerful tool for skin lesion diagnosis

29/11/2023.

iToBoS is exploring the use of EfficientNet models for pigmented skin lesion classification. This family of models, developed by Google researchers, are deep learning architectures that offer exceptional performance.

iToBoS project was presented at WIN-O Symposium of the DMSCG

27/11/2023.

The iToBoS project was presented at 13th National Multidisciplinary WIN-O Melanoma Symposium of the Dutch group on skin cancer and melanoma of the DMSCG, that took place in Ede, Netherlands, on November 27th, 2023.