Date 27/07/2021 - 30/07/2021
Location Virtual Conference
Workshop #3: Big data and artificial intelligence in cancer imaging
Organisers: Prof. Karim Lekadir, Universitat de Barcelona, Spain; Prof. Luis Martí-Bonmatí, La Fe University, Spain; Prof. Manolis Tsiknakis, FORTH, Greece; Mrs. Gianna Tsakou, Athens R&D Lab of Maggioli S.P.A., Italy
Short Description: Artificial Intelligence (AI) offers substantial opportunities for healthcare, supporting better diagnosis, treatment, prevention and personalised care. Analysis of health images is one of the most promising fields for applying AI in healthcare, contributing to better prediction, diagnosis and treatment of cancer. In order to develop and test reliable AI applications in the field, access to large-volume of high- quality data is needed.
The organizers of the workshop are the coordinators of the four projects that have recently been funded by the EC in the context of a relevant H2020 call (H2020-SC1-FA-DTS-2019-1 – AI for Health Imaging) CHAIMELEON (https://chaimeleon.eu/), EuCanImage (https://eucanimage.eu/), INCISIVE (https://incisive-project.eu/), ProCancer-I (https://www.procancer-i.eu/) and the PRIMAGE (https://www.primageproject.eu/) a relevant R&D project funded in a previous H2020 call.
The projects are seeking to establish large interoperable repositories of health images, enabling the development, testing and validation of AI–based health imaging solutions to improve diagnosis, disease prediction and follow-up of the most common forms of cancer. The ongoing collaboration and information exchange among the projects so far has highlighted several areas where common approaches and consensus building should be seeked by the five projects and even beyond by the wider scientific community, in order to achieve interoperability. Similarly, it has led to the identification of significant technical and methodological challenges that need to be addressed in designing and exploiting such interoperable cancer imaging data spaces.
The workshop will provide a detailed report of the collaboration opportunities and challenges identified so far; it will also present current approaches towards consensus building and critically discuss alternatives. Particular emphasis will be given to the issues related to the evaluation of AI-based diagnostic imaging algorithms including robustness, trust and explainability.
Want to know more about the project? Keep following INCISIVE on Linkedin and Twitter to keep updated with its next developments.
IEEE MELECON 2022 is a major international forum presenting design methodologies, techniques, and experimental results in emerging electro-technologies. It is one ...
+ INFOProf. Maria Lavdaniti (MSc, PhD, RN –Professor of Oncology Nursing), Principal Investigator of Incisive project on behalf of Hellenic Cancer Society, will participate in the 15th Annual Panhellenic Scientific and Professional Conference o...
+ INFOSara Martínez, IT engineer at TIC Salut Social, will present our work with HL7 FHIR in INCISIVE, at this webinar organised by EHTEL. Agenda Presentations ...
+ INFO