Research Data Leeds Repository

Lung ultrasound COVID phantom dataset used for training machine learning model

Citation

McLaughlan, James 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
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
Divisions: Faculty of Engineering and Physical Sciences > School of Electronic and Electrical Engineering
Related resources:
LocationType
https://doi.org/10.1016/j.ultras.2024.107251Publication
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

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