matlab toolbox gait cad Search Results


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matlab software  (MathWorks Inc)
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Representative matched H&E and segmented images of tumor (black), stroma (purple) and necrosis (green) using the pixel classifier algorithm in <t>MATLAB.</t> Top row: Stroma hot-spot rectangle, 100 ×150 μm across, selected by the observers for the assessment of TSP-manual and extracted with a diameter of x400 field for processing by the MATLAB Bottom row: The same regions in tissues was segmented by MATLAB to calculate <t>TSP-cad.</t> Pathologist a consensus; Necrosis b includes classes: fat, muscle, lymphocyte infiltrations, healthy epithelium, erythrocytes.
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system identification toolbox  (MathWorks Inc)
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Representative matched H&E and segmented images of tumor (black), stroma (purple) and necrosis (green) using the pixel classifier algorithm in <t>MATLAB.</t> Top row: Stroma hot-spot rectangle, 100 ×150 μm across, selected by the observers for the assessment of TSP-manual and extracted with a diameter of x400 field for processing by the MATLAB Bottom row: The same regions in tissues was segmented by MATLAB to calculate <t>TSP-cad.</t> Pathologist a consensus; Necrosis b includes classes: fat, muscle, lymphocyte infiltrations, healthy epithelium, erythrocytes.
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matlab gait-cad toolbox  (MathWorks Inc)
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MathWorks Inc matlab gait-cad toolbox
Representative matched H&E and segmented images of tumor (black), stroma (purple) and necrosis (green) using the pixel classifier algorithm in <t>MATLAB.</t> Top row: Stroma hot-spot rectangle, 100 ×150 μm across, selected by the observers for the assessment of TSP-manual and extracted with a diameter of x400 field for processing by the MATLAB Bottom row: The same regions in tissues was segmented by MATLAB to calculate <t>TSP-cad.</t> Pathologist a consensus; Necrosis b includes classes: fat, muscle, lymphocyte infiltrations, healthy epithelium, erythrocytes.
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scoring scripts (non-constrained gait scripts)  (MathWorks Inc)
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Representative matched H&E and segmented images of tumor (black), stroma (purple) and necrosis (green) using the pixel classifier algorithm in <t>MATLAB.</t> Top row: Stroma hot-spot rectangle, 100 ×150 μm across, selected by the observers for the assessment of TSP-manual and extracted with a diameter of x400 field for processing by the MATLAB Bottom row: The same regions in tissues was segmented by MATLAB to calculate <t>TSP-cad.</t> Pathologist a consensus; Necrosis b includes classes: fat, muscle, lymphocyte infiltrations, healthy epithelium, erythrocytes.
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custom matlab scripts r2022a  (MathWorks Inc)
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Representative matched H&E and segmented images of tumor (black), stroma (purple) and necrosis (green) using the pixel classifier algorithm in <t>MATLAB.</t> Top row: Stroma hot-spot rectangle, 100 ×150 μm across, selected by the observers for the assessment of TSP-manual and extracted with a diameter of x400 field for processing by the MATLAB Bottom row: The same regions in tissues was segmented by MATLAB to calculate <t>TSP-cad.</t> Pathologist a consensus; Necrosis b includes classes: fat, muscle, lymphocyte infiltrations, healthy epithelium, erythrocytes.
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lqe matlab function  (MathWorks Inc)
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Representative matched H&E and segmented images of tumor (black), stroma (purple) and necrosis (green) using the pixel classifier algorithm in <t>MATLAB.</t> Top row: Stroma hot-spot rectangle, 100 ×150 μm across, selected by the observers for the assessment of TSP-manual and extracted with a diameter of x400 field for processing by the MATLAB Bottom row: The same regions in tissues was segmented by MATLAB to calculate <t>TSP-cad.</t> Pathologist a consensus; Necrosis b includes classes: fat, muscle, lymphocyte infiltrations, healthy epithelium, erythrocytes.
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neurospec matlab library  (MathWorks Inc)
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Representative matched H&E and segmented images of tumor (black), stroma (purple) and necrosis (green) using the pixel classifier algorithm in <t>MATLAB.</t> Top row: Stroma hot-spot rectangle, 100 ×150 μm across, selected by the observers for the assessment of TSP-manual and extracted with a diameter of x400 field for processing by the MATLAB Bottom row: The same regions in tissues was segmented by MATLAB to calculate <t>TSP-cad.</t> Pathologist a consensus; Necrosis b includes classes: fat, muscle, lymphocyte infiltrations, healthy epithelium, erythrocytes.
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gait processing applications  (MathWorks Inc)
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Representative matched H&E and segmented images of tumor (black), stroma (purple) and necrosis (green) using the pixel classifier algorithm in <t>MATLAB.</t> Top row: Stroma hot-spot rectangle, 100 ×150 μm across, selected by the observers for the assessment of TSP-manual and extracted with a diameter of x400 field for processing by the MATLAB Bottom row: The same regions in tissues was segmented by MATLAB to calculate <t>TSP-cad.</t> Pathologist a consensus; Necrosis b includes classes: fat, muscle, lymphocyte infiltrations, healthy epithelium, erythrocytes.
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matlab toolbox gait-cad  (MathWorks Inc)
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MathWorks Inc matlab toolbox gait-cad
Representative matched H&E and segmented images of tumor (black), stroma (purple) and necrosis (green) using the pixel classifier algorithm in <t>MATLAB.</t> Top row: Stroma hot-spot rectangle, 100 ×150 μm across, selected by the observers for the assessment of TSP-manual and extracted with a diameter of x400 field for processing by the MATLAB Bottom row: The same regions in tissues was segmented by MATLAB to calculate <t>TSP-cad.</t> Pathologist a consensus; Necrosis b includes classes: fat, muscle, lymphocyte infiltrations, healthy epithelium, erythrocytes.
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cad modeling  (Dassault Systemes)
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Dassault Systemes cad modeling
Representative matched H&E and segmented images of tumor (black), stroma (purple) and necrosis (green) using the pixel classifier algorithm in <t>MATLAB.</t> Top row: Stroma hot-spot rectangle, 100 ×150 μm across, selected by the observers for the assessment of TSP-manual and extracted with a diameter of x400 field for processing by the MATLAB Bottom row: The same regions in tissues was segmented by MATLAB to calculate <t>TSP-cad.</t> Pathologist a consensus; Necrosis b includes classes: fat, muscle, lymphocyte infiltrations, healthy epithelium, erythrocytes.
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Image Search Results


Representative matched H&E and segmented images of tumor (black), stroma (purple) and necrosis (green) using the pixel classifier algorithm in MATLAB. Top row: Stroma hot-spot rectangle, 100 ×150 μm across, selected by the observers for the assessment of TSP-manual and extracted with a diameter of x400 field for processing by the MATLAB Bottom row: The same regions in tissues was segmented by MATLAB to calculate TSP-cad. Pathologist a consensus; Necrosis b includes classes: fat, muscle, lymphocyte infiltrations, healthy epithelium, erythrocytes.

Journal: Journal of Cancer

Article Title: Rapid multi-dynamic algorithm for gray image analysis of the stroma percentage on colorectal cancer

doi: 10.7150/jca.58887

Figure Lengend Snippet: Representative matched H&E and segmented images of tumor (black), stroma (purple) and necrosis (green) using the pixel classifier algorithm in MATLAB. Top row: Stroma hot-spot rectangle, 100 ×150 μm across, selected by the observers for the assessment of TSP-manual and extracted with a diameter of x400 field for processing by the MATLAB Bottom row: The same regions in tissues was segmented by MATLAB to calculate TSP-cad. Pathologist a consensus; Necrosis b includes classes: fat, muscle, lymphocyte infiltrations, healthy epithelium, erythrocytes.

Article Snippet: The two TSP-manual agreements between the two pathologists and CAD system MATLAB software were calculated using Cohen's Kappa (κ) on the dichotomized TSP values.

Techniques: