Research Data Leeds Repository
Lung ultrasound COVID phantom dataset used for training machine learning model
Citation
McLaughlan, James R. and Howell, Lewis and Ingram, Nicola (2024) Lung ultrasound COVID phantom dataset used for training machine learning model. University of Leeds. [Dataset] https://doi.org/10.5518/1485
Dataset description
This data repository contains all the raw imaging videos taken on a COVID-19 lung ultrasound phantom with a range of diagnostic ultrasound systems outlined in the methods section of the accompanying paper. These videos were used to generate a bank of imaging frames with a wide variety of COVID-19 features from the ultrasound phantom. MatLab code used to do this is also included in the repository. This data was used to train the included machine learning model, along with the labelled training and test datasets.
Keywords: | machine learning, COVID-19, Lung Ultrasound | ||||||
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Subjects: | B000 - Subjects allied to medicine > B800 - Medical technology H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering > H166 - Imaging I000 - Computer sciences > I400 - Artificial intelligence I000 - Computer sciences > I400 - Artificial intelligence > I460 - Machine learning |
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Divisions: | Faculty of Engineering and Physical Sciences > School of Electronic and Electrical Engineering | ||||||
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License: | Creative Commons Attribution 4.0 International (CC BY 4.0) | ||||||
Date deposited: | 22 Mar 2024 15:32 | ||||||
URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/1263 | ||||||