Benchmarking Medical Image Databases

Phani Kidambi, Matthew Sherwood, Jason Parker, Ralph De Velvis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An increase in the use of digital images in medicine and medical research has resulted in petabytes of digital images acquired each year. As more information is collected, there is a greater need to store, share, and retrieve images from various medical imaging modalities. Web-based medical image data management systems have been created to solve many issues caused by the Picture Archiving and Communication System (PACS). Five such medical image database systems are reviewed in this work. All the systems failed to capture experimental design specifications necessary for the proper interpretation of the associated images.

Original languageEnglish
Title of host publication12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human - Machine Systems, HMS 2013 - Proceedings
PublisherIFAC Secretariat
Pages240-243
Number of pages4
Volume12
EditionPART 1
ISBN (Print)9783902823410
DOIs
StatePublished - 2013
Event12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems - Las Vegas, NV, United States
Duration: Aug 11 2013Aug 14 2013

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume12
ISSN (Print)1474-6670

Conference

Conference12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems
Abbreviated titleHMS 2013
Country/TerritoryUnited States
CityLas Vegas, NV
Period8/11/138/14/13

ASJC Scopus Subject Areas

  • Control and Systems Engineering

Keywords

  • Benchmark examples
  • Biomedical systems
  • Database structures
  • Database systems
  • Medical systems

Disciplines

  • Computer Engineering

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