Multi-modal body part segmentation of infants using deep learning.

Publication Year: 2023

DOI:
10.1186/s12938-023-01092-0

PMCID:
PMC10031929

PMID:
36949491

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

Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"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."

Evidence found in paper:

"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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Open Access
Paper is freely available to read
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Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025