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

Domaine:

healthcare

Type de record:

dataset
Créateur:
Carla Sendra-BalcellsVíctor M. CampelloJordina Torrents-BarrenaYahya Ali Ahmed
Éditeur:
Zenodo
Hôte:avatar

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.

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).

Visit

doi.org

Tasks

computer visionimage classification

Tags

UltrasoundMedical imagingMaternal fetalAfrican datasetsLow-resource settings

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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