Published February 6, 2023 | Version v1.0
Dataset Open

Maternal fetal ultrasound planes from low-resource imaging settings in five African countries

Creators

  • 1. Universitat de Barcelona
  • 2. HP Inc

Description

This resource is a dataset of routinely acquired maternal-fetal screening ultrasound images collected in five centers of five countries in Africa (Malawi, Egypt, Uganda, Ghana and Algeria) that is associated to the journal article Sendra-Bacells et al. "Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries", Scientific Reports. The images correspond to the four most common fetal planes: abdomen, brain, femur and thorax. A CSV file is provided where image filenames are associated to plane types and patient number as well as the partitioning in training and testing splits as used in the associated publication.

Notes

This work also received funding from the Spanish Ministry of Science, Innovation and Universities under grant agreement RTI2018-099898-B-I00. Additionally, the research leading to these results has received funding from Cerebra Foundation for the Brain Injured Child (Carmarthen, Wales, UK).

Files

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Additional details

Related works

Is described by
Preprint: https://arxiv.org/abs/2209.09610 (URL)

Funding

euCanSHare – An EU-Canada joint infrastructure for next-generation multi-Study Heart research 825903
European Commission