Dataset from the study: "Brain Haemorrhage Detection using a SVM Classifier with Electrical Impedance Tomography Measurement Frames"
Description
This repository contains the scripts and other resources used in:
“Brain Haemorrhage Detection using a SVM Classifier with Electrical Impedance Tomography Measurement Frames”, McDermott B et al. 10.1371/journal.pone.0200469
>> THIS DATA IS FREE FOR USE IN ANY SCIENTIFIC RESEARCH WITH CITATION (PLEASE USE THE DOI FOR PRECISE CITATION): DOI 10.1371/journal.pone.0200469
>> IF YOU USE THESE RESOURCES, CITE!!!
The repository contains the code and resources to generate the EIT Measurement Frames used in Numerical Models (STL models, code to mesh, code to generate frames)
Also included are the Measurement Frames generated from the Phantom Studies.
=> This is all the data (how to replicate it for numerical studies and the actual data for the phantom part) used in the study
Classifier generation, training, testing, cross validation etc uses standard MATLAB methods and resources: fitcsvm() etc.
The subfolders are ordered numerically in the logical order of use
The subfolders contain text files with more details and description relevant to the contents of the respective subfolder.
Note:
Software used in this study:
At a minimum the first 2 will be needed to be installed on your computer
(other methods etc needed are detailed within the folders)
MATLAB 2017B (https://uk.mathworks.com/products/matlab.html):
The primary software tool used throughout
EIDORS (http://eidors3d.sourceforge.net/index.shtml):
Open Source software package, compatible with MATLAB, with tools for use in Electrical Impedance Tomography studies.
Used to generate the head, brain and lesion STL files. These final STL files are provided in this repository.
Files
SVMClassifierEITFrames.zip
Files
(484.0 MB)
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md5:ef1821732d3fe16e14e1f531ccbf90e2
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Additional details
Related works
- Is supplemented by
- 10.1371/journal.pone.0200469 (DOI)