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Protocols

ISODATA specifications

Information


Unique identifier OMICS_21515
Name ISODATA
Alternative name Iterative Self-Organizing Data Analysis

Documentation


Additional information


http://www.dtic.mil/docs/citations/AD0699616

ISODATA citations

 (18)
call_split

Highly variable contractile performance correlates with myocyte content in trabeculae from failing human hearts

2018
Sci Rep
PMCID: 5811450
PMID: 29440728
DOI: 10.1038/s41598-018-21199-y
call_split See protocol

[…] ethods with custom written scripts in Python software. In brief, RyR-JPH2 dual-labelled images were thresholded using the mode plus standard deviation value in ImageJ, while JPH2-α-tubulin images had isodata thresholding applied and masks were generated of each protein label with Python software. From each protein label, the distance to the nearest labelling of the second protein mask was determin […]

library_books

Comparing Pixel and Object Based Approaches in Effectively Classifying Wetland Dominated Landscapes

2018
PMCID: 5920549
PMID: 29707381
DOI: 10.3390/rs10010046

[…] e.g., object-oriented classification []; random forest []; and artificial neural networks []). Other approaches include the pixel-based unsupervised Iterative Self-Organizing Data Analysis Technique (ISODATA) [–] and the supervised maximum likelihood (ML [,]) image classification techniques of change-detection and pattern recognition [,].In contrast with the parametric ML classifier, more recently […]

library_books

Automated Ischemic Lesion Segmentation in MRI Mouse Brain Data after Transient Middle Cerebral Artery Occlusion

2017
Front Neuroinform
PMCID: 5281583
PMID: 28197090
DOI: 10.3389/fninf.2017.00003

[…] an-Zadeh et al., ; Wang et al., ), our algorithm operates on a single contrast (T2) and does not require a pre-scan.Unlike other methods developed for small animal data (HRS by Ghosh et al., , , and ISODATA by Jacobs et al., ,, , ,), the ischemic lesion segmentation approach presented here only makes use of the quantitative T2 maps. Contrary to T2-weighted MRI data, true quantitative MRI maps (T2 […]

library_books

Identification of lesion subtypes in biopsies of ductal carcinoma in situ of the breast using biomarker ratio imaging microscopy

2016
Sci Rep
PMCID: 4887986
PMID: 27247112
DOI: 10.1038/srep27039

[…] h Metamorph and processed with MetaFluor software (Molecular Devices, Downingtown, PA) to calculate image ratios. Micrographs were evaluated using ImageJ software. Segmentation was performed with the ISODATA (iterative self-organizing data analysis) technique. A local implementation of the Otsu algorithm was used for comparison. (Global segmentation is recommended over local implementations of thr […]

library_books

Retinal Remodeling and Metabolic Alterations in Human AMD

2016
PMCID: 4848316
PMID: 27199657
DOI: 10.3389/fncel.2016.00103

[…] s of small-molecule signatures as those in the primate, cat, rabbit and rat retinas (Fletcher and Kalloniatis, ; Kalloniatis et al., ; Marc et al., ; Marc, ). Classifying all the data with k-means or ISODATA clustering produces raw theme maps, which are then converted to refined theme maps superimposed on a single reference channel. Theme maps and rgb displays simplify tracking of 10 major cell ph […]

library_books

An Improved STARFM with Help of an Unmixing Based Method to Generate High Spatial and Temporal Resolution Remote Sensing Data in Complex Heterogeneous Regions

2016
PMCID: 4801583
PMID: 26861334
DOI: 10.3390/s16020207

[…] The ISODATA algorithm was applied to cluster a Landsat image collected August 19, generating land cover component maps with class number (k) as [,,,,,]. Two kinds of window scales which have pronounced im […]


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ISODATA institution(s)
Stanford Research Institute, Menlo Park, CA, USA
ISODATA funding source(s)
Supported by Stanford Research Institute and contracts from the Graphical Data Transducer Branch, Data Division, Communications Department, USAEL, Fort Monmouth.

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