The changing landscape of AI regulation


Until a few years ago, regulations and standards existed around the handling and use of certain types of data, including the General Data Protection Regulation (GDPR) in Europe, HIPAA and PCI-DSS in the United States, the Canadian Consumer Privacy Protection Act (CPPA) and many more.

An Introduction to Generative Adversarial Networks (GAN)


Generative Adversarial Networks are unsupervised neural networks that are able to analyse information from a dataset and produce similar new samples.

Economic burden of skin cancers in Europe


As observed by Dr Eline Noels of the Erasmus University of Rotterdam, the knowledge of the economic burden of skin cancers is “essential to enable health policy decision-makers to make well-informed decisions on potential interventions and to be able to evaluate the future effect of these decisions”.

EPLL: image denoising using a Gaussian Mixture Model learned on a large set of patches


For image denoising, there is an important line of work that uses the self-similarity principle that natural images obey: an image contains many image patches similar between each other. To remove noise, one can look for similar patches in an image and average them.

Uncertainty Estimation in Deep Neural Networksfor Dermoscopic Image Classification


Machine learning and specifically deep learning, have dramatically improved the state-of-the-art in many areas of research, including computer vision, speech recognition, and natural language processing.

Skin cancers in Europe


In EU 27, melanoma is the 6th type of cancer in terms of incidence (new cases per year) after breast, colorectum, prostate, lung and bladder and the 16th in terms of mortality (yearly deaths).

Data augmentation for automated melanoma lesion detection


Training data balance is crucial to the performance of machine learning (ML) models, especially deep learning models. There would be a high risk of overfitting when training on unbalanced datasets.

Image Inpainting


Image inpainting is the technique of reconstructing of missing portions in an image in an undetectable way, restoring both texture and structure.

Gender equity in artificial intelligence applications in dermatology


In the last few years, there have been remarkable developments in computational methods for helping dermatologists to diagnose skin cancer in early stages.

iToBoS project in the World Cancer Research Symposium 2022


iToBoS project was presented at the conference "Environmental/ host factors and clinical heterogeneity in skin melanoma: the need of a holistic diagnostic tool", in the World Cancer Research Symposium (SWCR2022).