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ImageSURF: An ImageJ Plugin for Batch Pixel-Based Image Segmentation Using Random Forests
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O'Mara, A, King, AE 
ORCID: 0000-0003-1792-0965, Vickers, JC ORCID: 0000-0001-5671-4879 and Kirkcaldie, MTK ORCID: 0000-0003-3285-0168 2017
, 'ImageSURF: An ImageJ Plugin for Batch Pixel-Based Image Segmentation Using Random Forests'
, Journal of Open Research Software, vol. 5
, pp. 1-7
, doi: https://doi.org/10.5334/jors.172.
ORCID: 0000-0003-1792-0965, Vickers, JC ORCID: 0000-0001-5671-4879 and Kirkcaldie, MTK ORCID: 0000-0003-3285-0168 2017
, 'ImageSURF: An ImageJ Plugin for Batch Pixel-Based Image Segmentation Using Random Forests'
, Journal of Open Research Software, vol. 5
, pp. 1-7
, doi: https://doi.org/10.5334/jors.172.
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Abstract
Image segmentation is a necessary step in automated quantitative imaging. ImageSURF is a macro-compatibleImageJ2/FIJI plugin for pixel-based image segmentation that considers a range of image derivatives totrain pixel classifiers which are then applied to image sets of any size to produce segmentations withoutbias in a consistent, transparent and reproducible manner. The plugin is available from ImageJ update sitehttp://sites.imagej.net/ImageSURF/ and source code from https://github.com/omaraa/ImageSURF.
| Item Type: | Article |
|---|---|
| Authors/Creators: | O'Mara, A and King, AE and Vickers, JC and Kirkcaldie, MTK |
| Keywords: | machine learning, image processing, pathology |
| Journal or Publication Title: | Journal of Open Research Software |
| Publisher: | Ubiquity Press Ltd. |
| ISSN: | 2049-9647 |
| DOI / ID Number: | https://doi.org/10.5334/jors.172 |
| Copyright Information: | © 2017 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/ |
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| Item Statistics: | View statistics for this item |
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