Data Artifact Avoidance for Melanoma Detection


Deep neural networks (DNNs) are powerful tools for accurate predictions in various applications and have even shown to be superior to human experts in some domains, for instance for Melanoma detection.

Artificial Intelligence for Digital Pathology


Digital pathology is an emerging sub-division of conventional microscopy, enabling practitioners to virtualize glass pathology slides for more in-depth analysis.

Dermatology Scans for Melanoma


Skin cancer is one of the most common types of all cancers. Melanoma may be the rarest subtype, but it will be responsible for over 7000 deaths this year, in the United States alone. Here’s the better news.

Revealing Data Artifacts in Melanoma Detection


In the recent decade, deep neural networks (DNNs) have successfully been applied to a multitude of tasks both in research and industry.

How to detect overfit models?


Detecting overfitting is technically not possible unless we test the data.

What is overfitting in Deep Learning


Out of all the things that can go wrong with your ML model, overfitting is one of the most common and most detrimental errors. The bad news is that this time, it's not an exaggeration.

Image Relighting


Image relighting is the task of simulating a light source change in an image. It is an inverse challenging problem that is usually solved by estimating the image geometry, the reflectance and the lighting. Usually, the results contain artifacts that makes the output look unrealistic.

iToBoS project coordinator supported the MPNE 2023 Conference


Prof. Rafael Garcia (University of Girona), coordinator of iToBoS project, attended the annual Conference of the European Association of Melanoma Patients (MPNE 2023).

Interview with Lasse Folkersen, the author of Understand your DNA


As part of iToBoS educational module prs4pa- polygenic risk scores for patient advocates- we will be reading 'Understand your DNA' as an introduction to genetics in the form of a book club.

Master course Italian Melanoma Intergroup


University of Trieste, partner of iToBoS project, organized in Trieste the Master Course IMI on the management of melanoma and non-melanoma skin cancers patients.