An Image Retrieval Pipeline in a Medical Data Integration Center.
K.Y. Cheng, S. Pazmino, B. Bergh, M. Lange-Hegermann, B. Schreiweis, An Image Retrieval Pipeline in a Medical Data Integration Center., IOS Press, Incorporated, 2024.
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Konferenz - Vortrag
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Abstract
Medical images need annotations with high-level semantic descriptors, so that domain experts can search for the desired dataset among an enormous volume of visual media within a Medical Data Integration Center. This article introduces a processing pipeline for storing and annotating DICOM and PNG imaging data by applying Elasticsearch, S3 and Deep Learning technologies. The proposed method processes both DICOM and PNG images to generate annotations. These image annotations are indexed in Elasticsearch with the corresponding raw data paths, where they can be retrieved and analyzed.
Stichworte
Erscheinungsjahr
Titel des Konferenzbandes
19th World Congress on Medical and Health Informatics (MEDINFO)
Band
310
Seite
1388-1389
Konferenz
19th World Congress on Medical and Health Informatics (MEDINFO)
Konferenzort
Sydney, AUSTRALIA
Konferenzdatum
2023-08-08 – 2023-08-12
ISBN
eISBN
ISSN
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ELSA-ID
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Cheng KY, Pazmino S, Bergh B, Lange-Hegermann M, Schreiweis B. An Image Retrieval Pipeline in a Medical Data Integration Center. Vol 310. IOS Press, Incorporated; 2024:1388-1389. doi:10.3233/SHTI231208
Cheng, K. Y., Pazmino, S., Bergh, B., Lange-Hegermann, M., & Schreiweis, B. (2024). An Image Retrieval Pipeline in a Medical Data Integration Center. In 19th World Congress on Medical and Health Informatics (MEDINFO) (Vol. 310, pp. 1388–1389). IOS Press, Incorporated. https://doi.org/10.3233/SHTI231208
Cheng KY et al. (2024) An Image Retrieval Pipeline in a Medical Data Integration Center. IOS Press, Incorporated.
Cheng, Ka Yung, Santiago Pazmino, Bjoern Bergh, Markus Lange-Hegermann, and Bjorn Schreiweis. An Image Retrieval Pipeline in a Medical Data Integration Center. 19th World Congress on Medical and Health Informatics (MEDINFO). Vol. 310. Studies in Health Technology and Informatics. IOS Press, Incorporated, 2024. https://doi.org/10.3233/SHTI231208.
Cheng, Ka Yung, Santiago Pazmino, Bjoern Bergh, Markus Lange-Hegermann und Bjorn Schreiweis. 2024. An Image Retrieval Pipeline in a Medical Data Integration Center. 19th World Congress on Medical and Health Informatics (MEDINFO). Bd. 310. Studies in Health Technology and Informatics. IOS Press, Incorporated. doi:10.3233/SHTI231208, .
Cheng, Ka Yung ; Pazmino, Santiago ; Bergh, Bjoern ; Lange-Hegermann, Markus ; Schreiweis, Bjorn: An Image Retrieval Pipeline in a Medical Data Integration Center., Studies in Health Technology and Informatics. Bd. 310 : IOS Press, Incorporated, 2024
K.Y. Cheng, S. Pazmino, B. Bergh, M. Lange-Hegermann, B. Schreiweis, An Image Retrieval Pipeline in a Medical Data Integration Center., IOS Press, Incorporated, 2024.
K. Y. Cheng, S. Pazmino, B. Bergh, M. Lange-Hegermann, and B. Schreiweis, An Image Retrieval Pipeline in a Medical Data Integration Center., vol. 310. IOS Press, Incorporated, 2024, pp. 1388–1389. doi: 10.3233/SHTI231208.
Cheng, Ka Yung, et al. “An Image Retrieval Pipeline in a Medical Data Integration Center.” 19th World Congress on Medical and Health Informatics (MEDINFO), vol. 310, IOS Press, Incorporated, 2024, pp. 1388–89, https://doi.org/10.3233/SHTI231208.
Cheng, Ka Yung u. a.: An Image Retrieval Pipeline in a Medical Data Integration Center., Bd. 310, o. O. 2024 (Studies in Health Technology and Informatics).
Cheng KY, Pazmino S, Bergh B, Lange-Hegermann M, Schreiweis B. An Image Retrieval Pipeline in a Medical Data Integration Center. 19th World Congress on Medical and Health Informatics (MEDINFO). IOS Press, Incorporated; 2024. (Studies in Health Technology and Informatics; vol. 310).
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