Data preparation for artificial intelligence in medical imaging: Experiences from the ProCAncer-I initiative-Reference-Cited by-同舟云学术

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Data preparation for artificial intelligence in medical imaging: Experiences from the ProCAncer-I initiative

Published:2023-12-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology
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Author:

Kalokyri Varvara¹,Tachos Nikolaos²,Sfakianakis Stelios¹,Nikiforaki Katerina¹,Karatzanis Ioannis¹,Kondylakis Haridimos¹,Mazzetti Simone³,Regge Daniele⁴,Papanikolaou Nikolaos⁵,Marias Konstantinos¹,Fotiadis Dimitrios⁶,Tsiknakis Manolis¹

Affiliation:

1. FORTH-ICS, Nik.,Foundation of Research and Technology Hellas,Institute of Computer Science,Heraklion,70013, Crete,Greece

2. University Campus of Ioannina,FORTH-BRI,45110, Ioannina,Greece

3. University of Turin,Department of Surgical Sciences,Turin,Italy

4. FPO-IRCCS, Strada Provinciale,Candiolo Cancer Institute,Radiology Unit,10060, Candiolo(TO),Italy

5. Champalimaud Foundation,Champalimaud Research,Computational Clinical Imaging Group,1400-038 Lisbon,Portugal

6. University Campus of Ioannina,FORTH-BRI,Greece and the Unit of Medical Technology and Intelligent Information Systems, Materials Science and Engineering Department,45110, Ioannina,Greece

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404092/10404107/10404158.pdf?arnumber=10404158

Reference5 articles.

1. “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI

2. RT-CDM: Extending OMOP-CDM for Tomography Imaging Data;Kalokyri,2023

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