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Post hoc or software based image fusion of MR and PET images has the same disadvantages as PET/CT.
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The number of colonies was automatically quantified by computer based image software (Image J).
To evaluate islet size and vascularization, 20 images from each group were captured and images were analyzed with Image J software (http://rsb.info.nih.gov/ij/ Java based Image Processing and Analysis provided by NIH).
The urban structure types (land use) map was extracted from Spot 5 satellite imagery using eCognition software tools by applying oriented based image analysis.
Object based image analysis (OBIA) software can be trained to extract the spatial extent of specific objects or features from medium and high resolution images using machine learning techniques with user-defined spectral, spatial, temporal and ancillary information [35, 45].
It uses low cost and portable scale bars, specially designed for thermal imaging, and processing software based on single image rectification.
We used Brista software based on Quickbird images and aerial photos to interpret the height of buildings, thus incorporating a 3-dimensional approach.
The data of the dynamic [N-methyl-11C]mirtazapine scan were summed for each subject, and each summed image was coregistered automatically using a software based on the medical image NetCDF [MINC] programming package developed at the Montreal Neurological Institute [MNI].
In this context, it was important to develop an easy-to-use freely available open-source software based on 2-D image processing for the analysis of rice panicle structure.
Software based on the second "image warping first" workflow, including Compugen's Z3, DECODON's Delta2D, and, most recently, Nonlinear's SameSpots, is able to overcome many of the difficulties in spot matching that are hard to deal with when different migration positions add to the uncertainty of multiple separate spot detections.
In order to reliably quantify the changes in mitochondrial shape in a high-throughput and automated fashion, we trained a random forest based image-classification software on preprocessed images and the output was quantitated using in-house developed codes.
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