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 2^nd General Assembly (GA) meeting took place on 18^th 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.

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.

7/01/2022.

A camera team from Sat.1 filmed PhoenixD member Prof. Dr Bernhard Roth and his team at the HOT - Hannover Centre for Optical Technologies. The subject was research into a new type of skin cancer scanner for early and reliable diagnosis of the disease.

7/01/2022.

The selection process for the coverage of a graduate / research support position (G3-Research Support Staff) for the research support of the CLINICAL FOUNDATION FOR BIOMEDICAL RESEARCH (FCRB) to be part of the research project: “iToBoS: Intelligent Total Body Scanner for Early Detection of Melanoma”.