22/02/2022.
The work "Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations", supported by iToBoS project, has been published.
22/02/2022.
The work "Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations", supported by iToBoS project, has been published.
18/02/2022.
The scientific paper "PatClarC: Using pattern concept activation vectors for noise-robust model debugging", with the support of the iToBoS project, was published.
16/02/2022.
In the iToBoS project, the so-called 3D cameras are used. These cameras enable us to make a virtual representation of the patient. This can help the dermatologists to match dermoscopic images of lesions with the lesions on the body of the patient.
13/02/2022.
iToBoS project was presented in Bootcamp21 face2face Research Strategy on February 12th, 2022.
13/02/2022.
In any data processing project that deals with personal information there is an inherent tradeoff between safeguarding data subjects’ privacy and yielding useful and accurate insights from the data.
9/02/2022.
The iToBoS project, its challenges and it purposes have been presented in the Green Project Expo.
7/02/2022.
Skin cancer is one of the most common cancers in the world. Late-stage skin cancers spreads to internal organs and become fatal. Early-stage skin cancer can be cured with a high survival rate, while the 5-year survival rate for skin cancer is extremely low.
5/02/2022.
Το iToBoS είναι ένα ερευνητικό έργο που χρηματοδοτείται από το πρόγραμμα έρευνας και καινοτομίας της Ευρωπαϊκής Επιτροπής Horizon 2020, στο θέμα "Ψηφιακή διαγνωστική - Ανάπτυξη εργαλείων για την υποστήριξη κλινικών αποφάσεων ενσωματώνοντας διάφορα είδη διαγνωστικών δεδομένων".
1/02/2022.
The most updated source for worldwide cancer data is represented by the GLOBOCAN 2020 report of the International Agency of Cancer Research (IACR).
31/01/2022.
iToBoS partner, Trilateral Research, recently contributed to a UK government call for policy advice pertaining to the risks, benefits, and ethical and legal considerations of medical data sharing.