Zoom is Meaningful: Discerning Ultrasound Images' Zoom Levels

  • M. Alsharid
  • , R. Yasrab
  • , M. Sarker
  • , L. Drukker
  • , A. T. Papageorghiou
  • , J. A. Noble

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The paper explores the use of an under-utilised piece of information extractable from fetal ultrasound images, 'zoom'. In this paper, we explore the obtainment of zoom information and conclude with a couple of potential use cases for it. We make the case that zoom information is meaningful and that convolutional neural networks can distinguish between the different zoom levels that images were acquired at, even if images were manipulated post-acquisition.

Original languageBritish English
Title of host publicationIEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9798350313338
DOIs
StatePublished - 2024
Event21st IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Athens, Greece
Duration: 27 May 202430 May 2024

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference21st IEEE International Symposium on Biomedical Imaging, ISBI 2024
Country/TerritoryGreece
CityAthens
Period27/05/2430/05/24

Keywords

  • Fetal ultrasound
  • magnification
  • zoom

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