Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

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 publication

DOI

10.1109/ISBI56570.2024.10635854

Type

Conference paper

Publication Date

01/01/2024