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Dataset accompanying publication "Objective analysis of neck muscle boundaries for cervical dystonia using ultrasound imaging and deep learning"

Loram, Ian D and Siddique, Abdul and Sánchez, María B and Harding, Peter J and Silverdale, Monty and Kobylecki, Christopher and Cunningham, Ryan (2019) Dataset accompanying publication "Objective analysis of neck muscle boundaries for cervical dystonia using ultrasound imaging and deep learning". [Dataset]

Abstract

This dataset supports the publication "Objective analysis of neck muscle boundaries for cervical dystonia using ultrasound imaging and deep learning, DOI: 10.1109/JBHI.2020.2964098". The data includes transverse US images of the neck (2172), corresponding manually annotated labels segmenting 13 muscle/ligament/vertebra segments from 61 participants (35 cervical dystonia, and 26 age matched controls). The dataset includes the accompanying clinical (Dystonia, Control), sex (M, F), age, and anonymised participant ID’s for the 61 participants. The instructions are contained within the file ‘Instructions for DataSet.docx’ and the data, which can be opened in MATLAB once downloaded, is contained in ‘DataAccompanyingPaper.mat.

Publisher: Manchester Metropolitan University
Additional Information: Data can be opened in MATLAB after it is downloaded.
Divisions: Faculties > Science and Engineering
Subject terms: Cervical dystonia
URI: https://e-space.mmu.ac.uk/id/eprint/624643
DOI: https://doi.org/10.23634/MMUDR.00624643

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