Management and Application of AI to DICOM Image Processing: A Systematic Mapping Literature Review
Date
2024-07-15
Authors
Fraile-Sanchón, Rubén
Vázquez-Ingelmo, Andrea
García-Peñalvo, Francisco José
García-Holgado, Alicia
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
Artificial intelligence (AI) has the potential to bring unprecedented benefits to humankind. Therefore, it is worth investigating how to maximize these benefits while avoiding potential pitfalls. Given this context, the first task necessary to assess the potential of this approach is to understand the management landscape and the application of AI to DICOM image processing. In this case, the researchers employ a systematic mapping review. This paper presents this process and its main findings. 35 studies have been selected from a total of 154 analyzed. From them, in addition to obtaining a clear view of the application of AI to DICOM images, we can also conclude that pre-trained AI algorithms are used in a higher amount than non-trained algorithms in terms of DICOM image usage.
Description
Keywords
Artificial Intelligence, algorithms, DICOM, pre-trained, segmentation
Citation
Fraile-Sanchón, R., Vázquez-Ingelmo, A., García-Peñalvo, F. J., & García-Holgado, A. (2024). Management and Application of AI to DICOM Image Processing: A Systematic Mapping Literature Review. In J. A. Carvalho Gonçalves, J. L. Sousa de Magalhães Lima, J. P. Coelho, F. J. García-Peñalvo, & A. García-Holgado (Eds.), Proceedings of TEEM 2023. The Eleventh International Conference on Technological Ecosystems for Enhancing Multiculturality (Bragança, Portugal, 25-27 October 2023) (pp. 345–355). Springer Nature Singapore. https://doi.org/10.1007/978-981-97-1814-6_34