CLiP, catheter and line position dataset

CLiP, catheter and line position dataset

Correct catheter position is crucial to ensuring appropriate function of the catheter and avoid complications. This paper describes a dataset consisting of 50,612 image level and 17,999 manually labelled annotations from 30,083 chest radiographs from the publicly available NIH ChestXRay14 dataset wi...

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Veröffentlicht in:Scientific data 2021-10, Vol.8 (1), p.285-285, Article 285
Hauptverfasser: Tang, Jennifer S. N., Seah, Jarrel C. Y., Zia, Adil, Gajera, Jay, Schlegel, Richard N., Wong, Aaron J. N., Gai, Dayu, Su, Shu, Bose, Tony, Kok, Marcus L., Jarema, Alex, Harisis, George N., Cheng, Chris-Tin, Kavnoudias, Helen, Wang, Wayland, Stein, Anouk, Shih, George, Gaillard, Frank, Dixon, Andrew, Law, Meng
Format: Artikel
Sprache:eng
Schlagworte:
692/700/1421
692/700/1421/1770
Catheterization
Catheters
Central Venous Catheters
Data Descriptor
Datasets
Humanities and Social Sciences
Humans
Intubation, Gastrointestinal
Intubation, Intratracheal
multidisciplinary
Radiography, Thoracic
Science
Science (multidisciplinary)
Thorax - diagnostic imaging
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Zusammenfassung:Correct catheter position is crucial to ensuring appropriate function of the catheter and avoid complications. This paper describes a dataset consisting of 50,612 image level and 17,999 manually labelled annotations from 30,083 chest radiographs from the publicly available NIH ChestXRay14 dataset with manually annotated and segmented endotracheal tubes (ETT), nasoenteric tubes (NET) and central venous catheters (CVCs). Measurement(s) Catheter Device Technology Type(s) Annotation Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.15113043
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-021-01066-8