---
_id: '12816'
abstract:
- lang: eng
  text: 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.
author:
- first_name: Ka Yung
  full_name: Cheng, Ka Yung
  last_name: Cheng
- first_name: Santiago
  full_name: Pazmino, Santiago
  last_name: Pazmino
- first_name: Bjoern
  full_name: Bergh, Bjoern
  last_name: Bergh
- first_name: Markus
  full_name: Lange-Hegermann, Markus
  id: '71761'
  last_name: Lange-Hegermann
- first_name: Bjorn
  full_name: Schreiweis, Bjorn
  last_name: Schreiweis
citation:
  ama: Cheng KY, Pazmino S, Bergh B, Lange-Hegermann M, Schreiweis B. <i>An Image
    Retrieval Pipeline in a Medical Data Integration Center.</i> Vol 310. IOS Press,
    Incorporated; 2024:1388-1389. doi:<a href="https://doi.org/10.3233/SHTI231208">10.3233/SHTI231208</a>
  apa: Cheng, K. Y., Pazmino, S., Bergh, B., Lange-Hegermann, M., &#38; Schreiweis,
    B. (2024). An Image Retrieval Pipeline in a Medical Data Integration Center. In
    <i>19th World Congress on Medical and Health Informatics (MEDINFO)</i> (Vol. 310,
    pp. 1388–1389). IOS Press, Incorporated. <a href="https://doi.org/10.3233/SHTI231208">https://doi.org/10.3233/SHTI231208</a>
  bjps: <b>Cheng KY <i>et al.</i></b> (2024) <i>An Image Retrieval Pipeline in a Medical
    Data Integration Center.</i> IOS Press, Incorporated.
  chicago: Cheng, Ka Yung, Santiago Pazmino, Bjoern Bergh, Markus Lange-Hegermann,
    and Bjorn Schreiweis. <i>An Image Retrieval Pipeline in a Medical Data Integration
    Center.</i> <i>19th World Congress on Medical and Health Informatics (MEDINFO)</i>.
    Vol. 310. Studies in Health Technology and Informatics. IOS Press, Incorporated,
    2024. <a href="https://doi.org/10.3233/SHTI231208">https://doi.org/10.3233/SHTI231208</a>.
  chicago-de: Cheng, Ka Yung, Santiago Pazmino, Bjoern Bergh, Markus Lange-Hegermann
    und Bjorn Schreiweis. 2024. <i>An Image Retrieval Pipeline in a Medical Data Integration
    Center.</i> <i>19th World Congress on Medical and Health Informatics (MEDINFO)</i>.
    Bd. 310. Studies in Health Technology and Informatics. IOS Press, Incorporated.
    doi:<a href="https://doi.org/10.3233/SHTI231208">10.3233/SHTI231208</a>, .
  din1505-2-1: '<span style="font-variant:small-caps;">Cheng, Ka Yung</span> ; <span
    style="font-variant:small-caps;">Pazmino, Santiago</span> ; <span style="font-variant:small-caps;">Bergh,
    Bjoern</span> ; <span style="font-variant:small-caps;">Lange-Hegermann, Markus</span>
    ; <span style="font-variant:small-caps;">Schreiweis, Bjorn</span>: <i>An Image
    Retrieval Pipeline in a Medical Data Integration Center.</i>, <i>Studies in Health
    Technology and Informatics</i>. Bd. 310 : IOS Press, Incorporated, 2024'
  havard: 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.
  ieee: 'K. Y. Cheng, S. Pazmino, B. Bergh, M. Lange-Hegermann, and B. Schreiweis,
    <i>An Image Retrieval Pipeline in a Medical Data Integration Center.</i>, vol.
    310. IOS Press, Incorporated, 2024, pp. 1388–1389. doi: <a href="https://doi.org/10.3233/SHTI231208">10.3233/SHTI231208</a>.'
  mla: Cheng, Ka Yung, et al. “An Image Retrieval Pipeline in a Medical Data Integration
    Center.” <i>19th World Congress on Medical and Health Informatics (MEDINFO)</i>,
    vol. 310, IOS Press, Incorporated, 2024, pp. 1388–89, <a href="https://doi.org/10.3233/SHTI231208">https://doi.org/10.3233/SHTI231208</a>.
  short: 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.
  ufg: '<b>Cheng, Ka Yung u. a.</b>: An Image Retrieval Pipeline in a Medical Data
    Integration Center., Bd. 310, o. O. 2024 (Studies in Health Technology and Informatics).'
  van: 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).
conference:
  end_date: 2023-08-12
  location: Sydney, AUSTRALIA
  name: 19th World Congress on Medical and Health Informatics (MEDINFO)
  start_date: 2023-08-08
date_created: 2025-04-17T08:25:27Z
date_updated: 2025-06-25T13:05:17Z
department:
- _id: DEP5023
doi: 10.3233/SHTI231208
external_id:
  pmid:
  - '38269660'
intvolume: '       310'
keyword:
- Medical image retrieval
- data lake
- DICOM
- deep learning
- elasticsearch
language:
- iso: eng
page: 1388-1389
pmid: '1'
publication: 19th World Congress on Medical and Health Informatics (MEDINFO)
publication_identifier:
  eisbn:
  - 978-1-64368-457-4
  eissn:
  - 1879-8365
  isbn:
  - 978-1-64368-456-7
  issn:
  - 0926-9630
publication_status: published
publisher: IOS Press, Incorporated
series_title: Studies in Health Technology and Informatics
status: public
title: An Image Retrieval Pipeline in a Medical Data Integration Center.
type: conference_speech
user_id: '83781'
volume: 310
year: '2024'
...