CitSeg pilot data

Name: CitSeg pilot data
Published: 2025-08-13T11:39:59+00:00
License: https://www.rioxx.net/licenses/all-rights-reserved
Keywords: No keyword

https://doi.org/10.24378/exe.1703
Open external identifier URL

dataset

posted on 2025-08-13, 11:39 authored by J Meakin, RM Ames, JCG Jeynes, JR Welsman, MJ Gundry, KM Knapp, RM Everson

This is the dataset used for the Meakin et al. (2019) article "The feasibility of using citizens to segment anatomy from medical images: accuracy and motivation" published in PLOS ONE.

Funding

WT105618MA

Wellcome Trust

History

Related Materials

1.
Handle - References https://hdl.handle.net/10871/39200

Rights

The data are available on request for research purposes only.

Notes

The data comprises 150 dicom images of the lumbar spine. These images are a randomly selected set of slices from magnetic resonance imaging scans of 15 healthy volunteers. The scans were acquired axially using a 1.5T scanner. The data also comprises segmentation data from 32 participants (29 citizens and 3 experts). The data is saved as a single matlab data file for each participant. Within each file, the data are organised by image (name corresponding to the above image data), session, participant id, participant age, participant sex, and xy coordinates. The xy coordinates are separated into individual regions. The article associated with this dataset is located in ORE at: http://hdl.handle.net/10871/39200

Publisher

University of Exeter

Language

Department

Physics and Astronomy

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Keywords

No keyword