Multi-modal body part segmentation of infants using deep learning.
Journal Information
Full Title: Biomed Eng Online
Abbreviation: Biomed Eng Online
Country: Unknown
Publisher: Unknown
Language: N/A
Publication Details
Subject Category: Engineering, Biomedical
Available in Europe PMC: Yes
Available in PMC: Yes
PDF Available: No
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"Declarations Ethics approval and consent to participateThe dataset used in this work was recorded in the NICU of Saveetha Medical College & Hospital in Chennai, India. The study was approved by the institutional ethics committee of Saveetha University (SMC/IEC/2018/03/067). All patients or their legal guardians consented to participating in the study. Consent for publicationAll images of patients have been anonymized, by blurring the faces. Competing interestsThe authors declare that they have no competing interests. Competing interests The authors declare that they have no competing interests."
"Funding Open Access funding enabled and organized by Projekt DEAL. The authors gratefully acknowledge financial support provided by Federal Ministry of Education and Research [Bundesministerium für Bildung und Forschung, 13GW0441C]."
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Last Updated: Aug 05, 2025