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Author Correction: Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries

Article scientifique 2023 Anglais

Résumé

“This work received funding from the European Union’s 2020 research and innovation programme under Grant Agreement No. 825903 (euCanSHare project), as well as 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).”

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Sendra-Balcells, C., Campello, V., Torrents‐Barrena, J., Ahmed, Y., Elattar, M., Botwe, B., Nyangulu, P., Stones, W., Ammar, M., Benamer, L., Kisembo, H., Sereke, S., Wanyonyi, S., Temmerman, M., Gratacós, E., Bonet-Carné, E., Eixarch, E., Mikolaj, K., Tolsgaard, M., Lekadir, K. (2023). Author Correction: Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries. https://doi.org/10.1038/s41598-023-30540-z

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Auteur(s)

Carla Sendra-Balcells Víctor M. Campello Jordina Torrents‐Barrena Yahya Ali Ahmed Mustafa Elattar Benard Ohene Botwe Pempho Nyangulu William Stones Mohammed Ammar Lamya Nawal Benamer Harriet Kisembo Senai Goitom Sereke Sikolia Wanyonyi Marleen Temmerman E. Gratacós Elisenda Bonet-Carné E. Eixarch Kamil Mikolaj Martin G. Tolsgaard Karim Lekadir

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