iToBoS project presented in the Spanish Academic group for imaging in dermatology and venereology


iToBoS was presented at the “XI Reunion del grupo de trabajo de e-dermatologia e imagen (GEDEI) de la Academia Española de Dermatologia y Venereologia”. 

Digital Hair Removal


Digital hair removal is a technique that is used to improve the accuracy and reliability of dermoscopic images of melanoma, which is a type of skin cancer.

When melanomas don’t look like melanomas


Most people who know about melanomas have a particular idea of what they look like: dark brown or black blotches or lumps. Many melanomas do look like this, so it’s what many machine learning algorithms are taught to look for.

Improving Explanations with Model Canonization


Backpropagation and rule-based XAI methods are prominent choices to explain neural network predictions. This is due to their speed and efficiency, as the computation of explanations only requires one backward pass through the model.

iToBoS project presented in the AAD Annual Meeting


iToBoS was presented at the American Academy of Dermatology (AAD) Annual Meeting, in New Orleans, USA.

Ethical and governance considerations for genomic data sharing in the development of medical technologies for melanoma


It’s the ethical imperative of medical providers and researchers to improve the health outcomes of either their patients or the general public.

What are the risk factors for melanoma?


The connection between sun exposure and skin cancers, such as melanoma, is well acknowledged. However, some people are at higher risk of melanoma than others, meaning they may require less sun exposure to cause the DNA damage which can lead to skin cancers.

Mole matching in iToBoS project


We are all familiar with text search which returns document similar to our query. It is also possible to perform similar search but with images.

Attitudes of Australian dermatologists on the use of genetic testing: A cross-sectional survey with a focus on melanoma


A recent nation-wide survey of Australian Dermatologists has provided insight into the current use, confidence, attitudes, and education preferences for genetic testing in dermatology practice.

iToBoS in the MWC Open Innovation Challenge 2023


The iToBoS project participated in the Open Innovation Challenge 2023, an event aimed at meeting innovative solutions and technological challenges within the framework of the Mobile World Congress, which took place in Barcelona.