@misc{12816,
  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.}},
  author       = {{Cheng, Ka Yung and Pazmino, Santiago and Bergh, Bjoern and Lange-Hegermann, Markus and Schreiweis, Bjorn}},
  booktitle    = {{19th World Congress on Medical and Health Informatics (MEDINFO)}},
  isbn         = {{978-1-64368-456-7}},
  issn         = {{1879-8365}},
  keywords     = {{Medical image retrieval, data lake, DICOM, deep learning, elasticsearch}},
  location     = {{Sydney, AUSTRALIA}},
  pages        = {{1388--1389}},
  publisher    = {{IOS Press, Incorporated}},
  title        = {{{An Image Retrieval Pipeline in a Medical Data Integration Center.}}},
  doi          = {{10.3233/SHTI231208}},
  volume       = {{310}},
  year         = {{2024}},
}

@inproceedings{2058,
  abstract     = {{Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper we present a hardware accelerated image processing and classification scheme for rotation and translation tolerant two-dimensional pattern recognition, which is based on one-dimensional nonlinear discrete circular transforms. However, the scheme is simple; it is stable and therefore well suited for industrial applications. An implementation on one field programmable gate array (FPGA) is proposed.}},
  author       = {{Henke, Tobias and Lohweg, Volker}},
  booktitle    = {{IEEE International Conference On Image Processing (ICIP), Proceedings}},
  isbn         = {{0-7803-9134-9}},
  issn         = {{2381-8549 }},
  keywords     = {{Pattern recognition, Field programmable gate arrays, Neural networks, Image processing, Discrete transforms, Signal processing, Image retrieval, Image recognition, Transient analysis, Fuzzy systems}},
  pages        = {{349 -- 352}},
  publisher    = {{IEEE}},
  title        = {{{A Simplified Scheme For Hardware-Based Pattern Recognition}}},
  doi          = {{ 10.1109/ICIP.2005.1529759}},
  year         = {{2005}},
}