Search Results for "matlab code for image classification using svm"

Showing 4 open source projects for "matlab code for image classification using svm"

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    ReViMS

    ReViMS

    ReViMS, a 3D volume rendering tool for light-sheet/confocal microscopy

    Reconstruction and Visualization from Multiple Sections (ReViMS), an open-source, user-friendly software for automatically estimating volume and several other features of 3D multicellular aggregates (i.e., cancer spheroid, zebrafish, fruit fly). ReViMS requires a z-stack of 2D binary masks, obtained by segmenting a sequence of fluorescent images acquired by scanning the aggregate along the z axis, using a confocal or a light-sheet fluorescent microscope. It provides a number of tools for: (a) segmenting z-stacks of fluorescence images; (b) reconstructing the 3D surface of the aggregates and estimating several features (including the volume). ReViMS is written in MATLAB (The MathWorks, Inc., Massachusetts, USA). It is an open-source tool and the source code is freely available at: http://sourceforge.net/p/revims Requirements: MATLAB R2017b and Image Processing Toolbox 10.1 or later versions.
    Downloads: 0 This Week
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  • 2
    GeoTools, the Java GIS toolkit

    GeoTools, the Java GIS toolkit

    Toolkit for working with and mapping geospatial data

    GeoTools is an open source (LGPL) Java code library which provides standards compliant methods for the manipulation of geospatial data. GeoTools is an Open Source Geospatial Foundation project. The GeoTools library data structures are based on Open Geospatial Consortium (OGC) specifications.
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    Downloads: 489 This Week
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  • 3
    DocWire SDK

    DocWire SDK

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    Downloads: 5 This Week
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  • 4
    ReViSP

    ReViSP

    ReViSP, a 3D volume rendering MATLAB tool for multicellular spheroids

    Reconstruction and Visualization from a Single Projection (ReViSP) tool: a 3D volume rendering method we developed to reconstruct the 3D shape of multicellular spheroids, besides estimating the volume by counting the voxels (3D pixels) fully included in the 3D surface. ReViSP is written in MATLAB (The MathWorks, Inc., Massachusetts, USA) and the source code is freely provided. Requirements for running ReViSP from the source code: MATLAB 2020a and Image Processing Toolbox 11.1 or later versions. Please, when using this software, cite these articles: (a) F. Piccinini, et al., Cancer multicellular spheroids: Volume assessment from a single 2D projection. ...
    Downloads: 3 This Week
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