bibtext: @InProceedings{ Als_Zoom_MICCAI2024,
                   author = { Alsharid, Mohammad and Yasrab, Robail and Drukker, Lior and Papageorghiou, Aris T. and Noble, J. Alison },
                   title = { { Zoom Pattern Signatures for Fetal Ultrasound Structures } },
                   booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2024},
                   year = {2024},
                   publisher = {Springer Nature Switzerland},
                   volume = { LNCS 15004 },
                   month = {October},
                   pages = { pending },
                }
abstract: During a fetal ultrasound scan, a sonographer will zoom in and zoom out as they attempt to get clearer images of the anatomical structures of interest. This paper explores how to use this zoom information which is an under-utilised piece of information that is extractable from fetal ultrasound images. We explore associating zooming patterns to specific structures. The presence of such patterns would indicate that each individual anatomical structure has a unique signature associated with it, thereby allowing for classification of fetal ultrasound clips without directly feeding the actual fetal ultrasound content into a convolutional neural network.
title: Zoom Pattern Signatures for Fetal Ultrasound Structures
authors: Alsharid, Mohammad Yasrab, Robail Drukker, Lior Papageorghiou, Aris T. Noble, J. Alison