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.
30/01/2022.
DICOM stands for Digital Imaging and COmmunications in Medicine: it is an international standard related to the exchange, storage and communication of digital medical images and other related digital data.
25/01/2022.
Over the last half century, clinicians and researchers have made enormous advances in detecting and treating melanoma.
22/01/2022.
Machine learning and specifically deep learning, have dramatically improved the state-of-the-art in many areas of research, including computer vision, speech recognition, and natural language processing.
20/01/2022.
The work “Explain and improve: LRP-inference fine-tuning for image captioning models”, with the support of iToBoS project, has been published in ScienceDirect.
19/01/2022.
iToBoS organized the workshop entitled “Ethical impact of the use of AI technologies for the detection of melanoma as addressed in iToBoS”.
18/01/2022.
The iToBoS 2nd General Assembly (GA) meeting took place on 18th January 2022 throughout video conference system with the attendance of 49 participants belonging to the 19 project partner organizations.
16/01/2022.
The scientific work "Explaining Machine Learning Models for Clinical Gait Analysis", with the support of iToBoS project, has been published.
[GE] Hautkrebs: Forscher der Universität Hannover entwickeln neuen, intelligenten Ganzkörper-Scanner
11/01/2022.
In this document we present a video on the development of optics for the new generation of scanners of the iToBoS project. The document is in German.