Berlin, 1/02/2024.

Presentation of the perspectives of generative Artificial Intelligence in melanoma at the MPNEconsensus 2024 by the iToBoS partner Leibniz University Hannover.

Dermoscopy is a powerful method used in dermatology to analyze the features of skin lesions.

Semi-supervised learning is a type of machine learning paradigm that falls between supervised and unsupervised learning.

Artificial intelligence (AI) systems have become more and more prevalent in everyday life and especially in enterprise settings.

As artificial intelligence (AI) rapidly advances, its integration into dermatology, particularly through Generative Adversarial Networks (GANs), is opening new horizons in patient education and skin cancer diagnosis.

The iToBoS project has previously written on the emergence of policy initiatives, regulatory frameworks and legislative proposals concerning a European Health Data Space [1].

Multimodal learning is the challenging task of using data from various modalities to improve the capacity of one model.

Realistic image super-resolution is the task of creating an image with perceptually realistic details from a lower quality image.

Segment Anything (SA) project tackles the three main questions for the arduous job of segmentation:

The prototype of the total body scanner of the iToBoS project, aimed at the early detection of melanoma, continues to be developed and improved.