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anatomy toolbox version 12  (MathWorks Inc)


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    MathWorks Inc anatomy toolbox version 12
    Anatomy Toolbox Version 12, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 673 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/anatomy+toolbox+version+12/Mapping+Toolbox/pmc12044152-190-7-15
    Average 96 stars, based on 673 article reviews
    anatomy toolbox version 12 - by Bioz Stars, 2026-09
    96/100 stars

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    other:

    Article Title: HoRNS-CNN model: an energy-efficient fully homomorphic residue number system convolutional neural network model for privacy-preserving classification of dyslexia neural-biomarkers
    Article Snippet: This algorithm was implemented in the computational anatomy toolbox version 12 (CAT12), which is a MATLAB-compatible extension of the statistical parametric mapping (SPM12) package.



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    anatomy toolbox version 12  (MathWorks Inc)
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    computational anatomy toolbox version 12 (cat12  (MathWorks Inc)
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    MathWorks Inc computational anatomy toolbox version 12 (cat12
    A 5-year-and-8-month-old girl with a normal magnetic resonance imaging brain scan. a , b Two successful segmentations produced using the Computational Anatomy Toolbox <t>version</t> <t>12</t> segmentation method in the 3-dimensional Standard Tessellation Language. The volume model ( a ) is visually higher in quality and demonstrates more cortical gyral and sulcal detail than the volume model ( b ) which shows flattened and less defined gyri. Gyral and sulcal detail is an important component of brain surface demonstration
    Computational Anatomy Toolbox Version 12 (Cat12, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/anatomy+toolbox+version+12/cat12/pmc10421760-56-15-9
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    A 5-year-and-8-month-old girl with a normal magnetic resonance imaging brain scan. a , b Two successful segmentations produced using the Computational Anatomy Toolbox version 12 segmentation method in the 3-dimensional Standard Tessellation Language. The volume model ( a ) is visually higher in quality and demonstrates more cortical gyral and sulcal detail than the volume model ( b ) which shows flattened and less defined gyri. Gyral and sulcal detail is an important component of brain surface demonstration

    Journal: Pediatric Radiology

    Article Title: Caution: shortcomings of traditional segmentation methods from magnetic resonance imaging brain scans intended for 3-dimensional surface modelling in children with pathology

    doi: 10.1007/s00247-023-05692-9

    Figure Lengend Snippet: A 5-year-and-8-month-old girl with a normal magnetic resonance imaging brain scan. a , b Two successful segmentations produced using the Computational Anatomy Toolbox version 12 segmentation method in the 3-dimensional Standard Tessellation Language. The volume model ( a ) is visually higher in quality and demonstrates more cortical gyral and sulcal detail than the volume model ( b ) which shows flattened and less defined gyri. Gyral and sulcal detail is an important component of brain surface demonstration

    Article Snippet: We used three methods accessible from the MatLab (The MathWorks Inc., Natick, MA) computing environment: Computational Anatomy Toolbox version 12 (CAT12), Statistical Parametric Mapping version 12 (SPM12) and MRTool.

    Techniques: Magnetic Resonance Imaging, Produced

    Three default settings of Statistical Parametric Mapping version 12 (SPM12) and MRTool segmentation methods and corresponding recommended manual edits according to scan class (presence and type of pathology)

    Journal: Pediatric Radiology

    Article Title: Caution: shortcomings of traditional segmentation methods from magnetic resonance imaging brain scans intended for 3-dimensional surface modelling in children with pathology

    doi: 10.1007/s00247-023-05692-9

    Figure Lengend Snippet: Three default settings of Statistical Parametric Mapping version 12 (SPM12) and MRTool segmentation methods and corresponding recommended manual edits according to scan class (presence and type of pathology)

    Article Snippet: We used three methods accessible from the MatLab (The MathWorks Inc., Natick, MA) computing environment: Computational Anatomy Toolbox version 12 (CAT12), Statistical Parametric Mapping version 12 (SPM12) and MRTool.

    Techniques:

    Default settings in Computational Anatomy Toolbox version 12 (CAT12) segmentation method and corresponding recommendations for all classes (presence and type of pathology)

    Journal: Pediatric Radiology

    Article Title: Caution: shortcomings of traditional segmentation methods from magnetic resonance imaging brain scans intended for 3-dimensional surface modelling in children with pathology

    doi: 10.1007/s00247-023-05692-9

    Figure Lengend Snippet: Default settings in Computational Anatomy Toolbox version 12 (CAT12) segmentation method and corresponding recommendations for all classes (presence and type of pathology)

    Article Snippet: We used three methods accessible from the MatLab (The MathWorks Inc., Natick, MA) computing environment: Computational Anatomy Toolbox version 12 (CAT12), Statistical Parametric Mapping version 12 (SPM12) and MRTool.

    Techniques:

    Individual and combined success rates of Statistical Parametric Mapping version 12 (SPM12), Computational Anatomy Toolbox version 12 ( CAT12) and MRTool default and manually edited settings across the four classes of magnetic resonance imaging brain scans N/A not applicable

    Journal: Pediatric Radiology

    Article Title: Caution: shortcomings of traditional segmentation methods from magnetic resonance imaging brain scans intended for 3-dimensional surface modelling in children with pathology

    doi: 10.1007/s00247-023-05692-9

    Figure Lengend Snippet: Individual and combined success rates of Statistical Parametric Mapping version 12 (SPM12), Computational Anatomy Toolbox version 12 ( CAT12) and MRTool default and manually edited settings across the four classes of magnetic resonance imaging brain scans N/A not applicable

    Article Snippet: We used three methods accessible from the MatLab (The MathWorks Inc., Natick, MA) computing environment: Computational Anatomy Toolbox version 12 (CAT12), Statistical Parametric Mapping version 12 (SPM12) and MRTool.

    Techniques: Magnetic Resonance Imaging

    A 2-year-and-2-month-old boy who suffered an acute-profound perinatal hypoxic ischemic injury. a – c Multiplanar coronal ( a ), sagittal ( b ) and axial ( c ) reconstructions of T1-weighted magnetic resonance images demonstrate bilateral, relatively symmetric peri-Rolandic volume loss ( arrows in a and b ). d High-fidelity three-dimensional surface mesh achieved by generating a standard tesselation language model using the Statistical Parametric Mapping version 12 technique accurately demonstrates the fine cortical detail at the atrophic peri-Rolandic regions ( arrows )

    Journal: Pediatric Radiology

    Article Title: Caution: shortcomings of traditional segmentation methods from magnetic resonance imaging brain scans intended for 3-dimensional surface modelling in children with pathology

    doi: 10.1007/s00247-023-05692-9

    Figure Lengend Snippet: A 2-year-and-2-month-old boy who suffered an acute-profound perinatal hypoxic ischemic injury. a – c Multiplanar coronal ( a ), sagittal ( b ) and axial ( c ) reconstructions of T1-weighted magnetic resonance images demonstrate bilateral, relatively symmetric peri-Rolandic volume loss ( arrows in a and b ). d High-fidelity three-dimensional surface mesh achieved by generating a standard tesselation language model using the Statistical Parametric Mapping version 12 technique accurately demonstrates the fine cortical detail at the atrophic peri-Rolandic regions ( arrows )

    Article Snippet: We used three methods accessible from the MatLab (The MathWorks Inc., Natick, MA) computing environment: Computational Anatomy Toolbox version 12 (CAT12), Statistical Parametric Mapping version 12 (SPM12) and MRTool.

    Techniques:

    Standard tessellation language surface model examples depicting unsuccessful segmentation of an MRI of the brain in a 5-year-and-2-month-old boy with default settings for ( a ) Computational Anatomy Toolbox version 12, ( b ) Statistical Parametric Mapping version 12, and ( c ) MRTool segmentations. a Shows a large open hole in the volume ( arrow ). b Compared to ( a ), this image shows a  smaller hole in the volume ( arrow ). c There is diffuse exclusion of outer gray matter (incorrect segmentation of the gray matter) in the entire volume, as demonstrated by the extreme irregular sulcal pattern when compared to the models in ( a ) and ( b )

    Journal: Pediatric Radiology

    Article Title: Caution: shortcomings of traditional segmentation methods from magnetic resonance imaging brain scans intended for 3-dimensional surface modelling in children with pathology

    doi: 10.1007/s00247-023-05692-9

    Figure Lengend Snippet: Standard tessellation language surface model examples depicting unsuccessful segmentation of an MRI of the brain in a 5-year-and-2-month-old boy with default settings for ( a ) Computational Anatomy Toolbox version 12, ( b ) Statistical Parametric Mapping version 12, and ( c ) MRTool segmentations. a Shows a large open hole in the volume ( arrow ). b Compared to ( a ), this image shows a  smaller hole in the volume ( arrow ). c There is diffuse exclusion of outer gray matter (incorrect segmentation of the gray matter) in the entire volume, as demonstrated by the extreme irregular sulcal pattern when compared to the models in ( a ) and ( b )

    Article Snippet: We used three methods accessible from the MatLab (The MathWorks Inc., Natick, MA) computing environment: Computational Anatomy Toolbox version 12 (CAT12), Statistical Parametric Mapping version 12 (SPM12) and MRTool.

    Techniques: