What can the ATMO-2ES bring to the iToBoS project?

Part of the project’s overall goal is to create a set of dermoscopic images that can be used in the development and training of image classification algorithms.

iToBoS is presented as a EU project that develops intelligent body scanner for early detection of melanoma.

iToBoS project presented in AI Magazine as an AI tool to improving melanoma screening.

Dermoscopy is known as surface microscopy, dermatoscopy or epiluminescence microscopy and it consists of an imaging method that allows increase the lesions 10X to 120X leading a visualization of some structures located within the skin (epidermis and dermis).

In September 2022 (M18 of the project) we submitted deliverable D4.1 - Masking and anonymization tools for datasets. We bring here some highlights from that deliverable.

Skin cancer is the most common cancer in the world. It is is deadly at late stage but can be cured with high survival rate if being detected early.

In the past decades, there have been developments in computational methods for helping dermatologists diagnose skin cancer early. Computerized analysis of pigmented skin lesions (PSLs) is a growing field of research.

Validation of medical devices is concerned with the end product and – according to a FDA’s definition - it intends “to check that the device / system and its specifications conform with the user needs and the intended use(s)”

As already mentioned, medical device verification is often done at sub-system / module level and often in parallel with the design and development phases. It requires the availability of the specifications and of testing procedures / methods.