Applied deep learning in neurosurgery: identifying cerebrospinal fluid (CSF) shunt systems in hydrocephalus patients.
Journal Information
Full Title: Acta Neurochir (Wien)
Abbreviation: Acta Neurochir (Wien)
Country: Unknown
Publisher: Unknown
Language: N/A
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"data availability the dataset is publicly available and can be accessed at https://github com/csfshuntvalves/xray_csf_shuntvalves ."
"data availability the dataset is publicly available and can be accessed at https://github com/csfshuntvalves/xray_csf_shuntvalves ."
"Declarations Ethics approvalThe study adhered to all relevant ethical regulations of the University Hospital Bern, and formal ethical approval was not required according to local regulations and guidelines as it involved the use of anonymized and de-identified data collected as part of routine clinical practice. Consent to participate and consent for publicationFor this type of study, obtaining informed consent from the patients was not required. The data collection and analysis were conducted in compliance with relevant data protection and privacy regulations, ensuring the protection of the patients’ rights and privacy. Conflict of interestThe authors declare no competing interests. Conflict of interest The authors declare no competing interests."
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Tool: rtransparent
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Last Updated: Aug 05, 2025