In the past years, Deep Neural Networks (DNNs) have shown exceptional results across multiple domains, including general image classification tasks, winning Atari games or even detecting skin cancer by lesion classification. These networks are commonly trained on large datasets, such as ImageNet (millions of images of several classes) or ISIC 2019 (images of skin lesions).
An introduction to building the blocks of the iToBoS solution: from fundamentals to camera testing. As we are designing the whole imaging system from scratch, many parameters regarding the imaging system of the total body scanner needed to be specified.
Leibniz University of Hannover (LUH) is located in Hannover in northern Germany Lower Saxony with about 30.000 students. LUH is part of a number of excellence clusters namely PhoenixD, hearing for all, rebirth, quantum frontiers. LUH is also part of several other European projects like ERC Grants, Horizon2020, EFRE- and ESF funded projects.
As we age, our skin acquires all sorts of mysterious lumps and bumps – some might be cancers, but most are benign. Here are some of the most common types that iToBoS will be learning to distinguish from melanoma. Article written by the Skin Cancer Genomics and Biomarker Discovery Group - Dermatology Research Centre - The University of Queensland Diamantina Institute.
When I started to work on privacy technologies at IBM Research almost 15 years ago, virtually no-one was talking about privacy or the rights of data subjects with regard to their data. There were a few academic conferences out there focused (at least partially) on privacy, but it was a very niche domain with little interest outside of the small community working on it directly.
iToBoS este un proiect finanțat prin programul de cercetare și inovare Orizont 2020 al Uniunii Europene. Acesta are ca scop crearea unui nou instrument de diagnosticare precoce a melanomului, exploatând toate informațiile disponibile despre pacient.
The impact of the iToBoS project in Hungary continued through new publications in numerous broad-spectrum national digital newspapers and magazines.
iToBoS project has been presented in Hungary with the article “Mesterséges intelligenciát használó eszköz készül a melanóma korai felismerésére”.