6/07/2022.

The success of new scientific research, such as the novel holistic approach for melanoma detection in iToBoS, is increasingly dependent on the efficient storage and processing of copious amounts of data originating from research. Moreover, the scientists often require complex, large-scale platforms based on the coordinated operation of multiple components.

5/07/2022.

The ability to continuously process and retain new information like we do naturally as humans is a feat that is highly sought after when training neural networks.

4/07/2022.

Tunable lenses are conceptionally like a human eye. An elastic polymer membrane covers a reservoir containing an optical liquid.

3/07/2022.

iToBoS was presented in the 23 Congreso Ibero Latino-Americano de Dermatologia (CILAD) in Madrid, Spain, on July 01, 2022.

1/07/2022.

The iToBoS project is usually categorized within the field of medical imaging. However, all the technical solutions used or to be developed in the project, from the optics to the artificial intelligence algorithms, are part of the wider field of machine vision.

28/06/2022.

The task of real-world noise removal is challenging, as the noise model is highly complex. CNNs have lately achieved state-of-the-art denoising performance, but the networks are extremely large and complicated for a better accuracy.

26/06/2022.

Diffusion Models are a type of likelihood-based models that have recently generated synthetic images of excellent quality.

23/06/2022.

Researchers and professors of the Dermatology Unit of the University of Trieste lectured in high school classes on the effect of UV radiation exposure and on the protection measures to be used during sun exposure and presetned the iToBoS project.

17/06/2022.

In this article we analyze new scenarios and business cases of teledermatology.

16/06/2022.

iToBoS project was presented through a poster titled “Non-contact dermoscopy for the early detection of skin cancer” in the interdisciplinary workshop Cluster of Excellence PhoenixD.