Abstract
The rise of Digital Pathology during the past few years is leading to the digitisation of the pathology field; the widespread use of Whole Slide Images (WSI) and the digitisation of the diagnostic process have allowed the introduction of AI-based methods to aid some parts of the process. In this framework, the CADIA project was raised in response to the Galician healthcare system digitisation needs. CADIA aims to develop an AI-based medical image analysis solution for the diagnosis of several pathologies and its demonstration on breast cancer diagnosis from WSIs. In this paper, we describe the development of CADIA, from the capture of requirements to the deployment and integration of the solution into the healthcare system infrastructure. We describe the opportunities, challenges and lessons learned during the project development.
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Acknowledgements
This work has been partially funded by FEDER “Una manera de hacer Europa”. The project CADIA (DG-SER1-19-003) has been developed under the Codigo100 Public Procurement and Innovation Programme by the Galician Healthcare System - Servizo Galego de Saúde (SERGAS) co-funded by the European Regional Development Fund (ERDF).
We would like to acknowledge the work done by the pathologists at Ferrol, Lugo, Ourense, Pontevedra, Santiago, and Vigo health service areas from the Galician Healthcare System.
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García-González, M.J. et al. (2022). CADIA: A Success Story in Breast Cancer Diagnosis with Digital Pathology and AI Image Analysis. In: Wu, S., Shabestari, B., Xing, L. (eds) Applications of Medical Artificial Intelligence. AMAI 2022. Lecture Notes in Computer Science, vol 13540. Springer, Cham. https://doi.org/10.1007/978-3-031-17721-7_9
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DOI: https://doi.org/10.1007/978-3-031-17721-7_9
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