Cargando…
Ensuring privacy protection in the era of big laparoscopic video data: development and validation of an inside outside discrimination algorithm (IODA)
BACKGROUND: Laparoscopic videos are increasingly being used for surgical artificial intelligence (AI) and big data analysis. The purpose of this study was to ensure data privacy in video recordings of laparoscopic surgery by censoring extraabdominal parts. An inside-outside-discrimination algorithm...
Autores principales: | Schulze, A., Tran, D., Daum, M. T. J., Kisilenko, A., Maier-Hein, L., Speidel, S., Distler, M., Weitz, J., Müller-Stich, B. P., Bodenstedt, S., Wagner, M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338566/ https://www.ncbi.nlm.nih.gov/pubmed/37145173 http://dx.doi.org/10.1007/s00464-023-10078-x |
Ejemplares similares
-
Lund model and an outside-inside aspect of the inside-outside cascade
por: Bialas, A, et al.
Publicado: (1987) -
Outside/inside
Publicado: (1990) -
Outside and Inside
por: Lindorme, C. A. F.
Publicado: (1907) -
The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data Science
por: Carstens, Matthias, et al.
Publicado: (2023) -
The “Inside-outside” Sign
por: Haridass, Shoban, et al.
Publicado: (2021)