D5.2 Pre-processing tools

Dec 7, 2022 | Deliverables

ProCAncerI aims to develop novel AI models in order to add precision in the management of
prostate cancer patients by providing diagnostic tools able to reduce overdiagnosis and
overtreatment. To this end, a unique dataset from the project’s clinical sites is being assembled
making sure that image diversity and variability is properly addressed, which would enhance
models’ generalizability. That said, most current multicentric studies employ harmonization
methods either in centralized or federated architectures since it is still impossible to control or
predict all sources of variation. It should be stressed that there is currently no gold standard to
harmonize imaging data in a multicentric setting towards an optimal radiomics pipeline. Instead,
there are research trends that have shown promising results based on which the ProCAncerI
consortium has implemented a number of preprocessing functionalities that can be used to
experiment and optimize the ProCAncerI AI modeling tasks (Deep Learning and Radiomics
based).

Highlights

The ProCAncer-I at the IEEE Engineering in Medicine & Biology Society (EMBS) in Malta

The ProCAncer-I at the IEEE Engineering in Medicine & Biology Society (EMBS) in Malta

The ProCAncer-I Consortium is organising a mini symposium under the scope Data Engineering in Cancer, chaired by prof. Dimitris Fotiadis and are inviting every interested stakeholder to participate. The mini symposium will take place during the IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology, in Malta (Hilton Malta Hotel) on December 7, 2023 – December 9, 2023, on the second day.

Prof Tsiknakis: Launch of the federal European infrastructure for cancer imaging

Prof Tsiknakis: Launch of the federal European infrastructure for cancer imaging

The EUCAIM (European Federation for Cancer Images) project is the cornerstone of the European Cancer Imaging Initiative, launched by the European Commission, within the framework of the European Beating Cancer Plan, emphasized Prof. Manolis Tsiknakis, as Coordinator of the ProCAncer-I project and Affiliated Professor at the Computational Biomedicine Laboratory (CBML), speaking at the Health IT conference.

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