EfficientNetV2: Smaller Models & Faster Training


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


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.

Creation of a test dataset for automatic lesion detection


Test datasets serve as a benchmark to evaluate the performance of algorithms and models.

Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture


I-JEPA, the latest self-supervised model from Meta AI, has been officially released: the paper was published in June 2023 at the last CVPR conference, together with their codes that they made open-source.

Spacing of healthy moles hints at site-specific melanoma risk


Naevi (moles) are benign brown or black spots on your skin that sometimes look similar to melanomas, but are completely harmless.

Performance of the gravity-compensated liquid lenses


In two previous blog posts, we explained the coma aberration effect that gravity introduced on the standard liquid lenses from Optotune and how it has been solved in the latest generation of the lenses.

iToBoS participated in the Workshop "In-depth discussion on three topics requiring coordination and support" organized by the EC


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.

Visual Intelligence for Manufacturing


The experience gained from the use of machine vision technology has allowed Bosch to master the skills to support iToBoS project objectives.

Smart City Expo World Congress


iToBoS project representatives attended the Smart City Expo World Congress, that took place in Barcelona from November 7 to 9, 2023.

AI and Cancer: Unleashing Opportunities, Overcoming Challenges


iToBoS representatives joined and participated in this event, aimed at exploring how Artificial Intelligence powered by health data sharing can transform cancer challenges into remarkable opportunities.