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Title: Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
Author: Díaz, Oliver
Kushibar, Kaisar
Osuala, Richard
Linardos, Akis
Garrucho, Lídia
Igual Muñoz, Laura
Radeva, Petia
Prior, Fred
Gkontra, Polyxeni
Lekadir, Karim, 1977-
Keywords: Intel·ligència artificial
Imatges mèdiques
Curació de dades
Preservació digital
Artificial intelligence
Imaging systems in medicine
Data curation
Digital preservation
Issue Date: 5-Mar-2021
Publisher: Elsevier
Abstract: The vast amount of data produced by today's medical imaging systems has led medical professionals to turn to novel technologies in order to efficiently handle their data and exploit the rich information present in them. In this context, artificial intelligence (AI) is emerging as one of the most prominent solutions, promising to revolutionise every day clinical practice and medical research. The pillar supporting the development of reliable and robust AI algorithms is the appropriate preparation of the medical images to be used by the AI-driven solutions. Here, we provide a comprehensive guide for the necessary steps to prepare medical images prior to developing or applying AI algorithms. The main steps involved in a typical medical image preparation pipeline include: (i) image acquisition at clinical sites, (ii) image de-identification to remove personal information and protect patient privacy, (iii) data curation to control for image and associated information quality, (iv) image storage, and (v) image annotation. There exists a plethora of open access tools to perform each of the aforementioned tasks and are hereby reviewed. Furthermore, we detail medical image repositories covering different organs and diseases. Such repositories are constantly increasing and enriched with the advent of big data. Lastly, we offer directions for future work in this rapidly evolving field.
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It is part of: Physica Medica, 2021, vol. 83, p. 25-37
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ISSN: 1120-1797
Appears in Collections:Articles publicats en revistes (Matemàtiques i Informàtica)

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