gray level co-occurrence matrix (glcm) analysis Search Results


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Texture analysis statistics relating to <t> grey level co-occurrence matrices </t> derived from CT scan images of radio-exposed (Rx) and contralateral control (CON) lung at time points prior to (d-21), and following radiation exposure (d21, and d171/227).
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Texture analysis statistics relating to <t> grey level co-occurrence matrices </t> derived from CT scan images of radio-exposed (Rx) and contralateral control (CON) lung at time points prior to (d-21), and following radiation exposure (d21, and d171/227).
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Texture analysis statistics relating to <t> grey level co-occurrence matrices </t> derived from CT scan images of radio-exposed (Rx) and contralateral control (CON) lung at time points prior to (d-21), and following radiation exposure (d21, and d171/227).
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Texture analysis statistics relating to <t> grey level co-occurrence matrices </t> derived from CT scan images of radio-exposed (Rx) and contralateral control (CON) lung at time points prior to (d-21), and following radiation exposure (d21, and d171/227).
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Texture analysis statistics relating to <t> grey level co-occurrence matrices </t> derived from CT scan images of radio-exposed (Rx) and contralateral control (CON) lung at time points prior to (d-21), and following radiation exposure (d21, and d171/227).
Gray Level Co Occurrence Matrix (Glcm) Approach, 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
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Texture analysis statistics relating to <t> grey level co-occurrence matrices </t> derived from CT scan images of radio-exposed (Rx) and contralateral control (CON) lung at time points prior to (d-21), and following radiation exposure (d21, and d171/227).
Gray Level Co Occurrence Matrix (Glcm) Analysis, 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
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Texture analysis statistics relating to <t> grey level co-occurrence matrices </t> derived from CT scan images of radio-exposed (Rx) and contralateral control (CON) lung at time points prior to (d-21), and following radiation exposure (d21, and d171/227).
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Rocha labs gray-level co-occurrence matrices (glcm)
Texture analysis statistics relating to <t> grey level co-occurrence matrices </t> derived from CT scan images of radio-exposed (Rx) and contralateral control (CON) lung at time points prior to (d-21), and following radiation exposure (d21, and d171/227).
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Methodology of the included studies.
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Image Search Results


Texture analysis statistics relating to  grey level co-occurrence matrices  derived from CT scan images of radio-exposed (Rx) and contralateral control (CON) lung at time points prior to (d-21), and following radiation exposure (d21, and d171/227).

Journal: Scientific Reports

Article Title: Regional and organ-level responses to local lung irradiation in sheep

doi: 10.1038/s41598-021-88863-8

Figure Lengend Snippet: Texture analysis statistics relating to grey level co-occurrence matrices derived from CT scan images of radio-exposed (Rx) and contralateral control (CON) lung at time points prior to (d-21), and following radiation exposure (d21, and d171/227).

Article Snippet: Each image was opened in Matlab (R2019b) and the graycomatrix function from the image processing toolbox employed to create grey-level co-occurrence matrices (GLCM) specifying the frequencies of combinations of image intensities.

Techniques: Derivative Assay, Computed Tomography, Control

Methodology of the included studies.

Journal: Frontiers in Oncology

Article Title: Radiomics for preoperative prediction of early recurrence in hepatocellular carcinoma: a meta-analysis

doi: 10.3389/fonc.2023.1114983

Figure Lengend Snippet: Methodology of the included studies.

Article Snippet: Zhang et al. (2019) ( ) , MRI , 3.0T MR: Magnetom Skyra (Siemens Healthcare, Erlangen, , gadoxetic acid-enhanced , 385 radiomics features (histogram, texture features, form factors, grey-level co-occurrence matrix, and grey-level run-length matrix) , T2-WI, unenhanced T1-WI, AP, PVP, and HBP , ITK-SNAP , LASSO regression , 75 , 80 , 69 , 44 , 6 , 36.

Techniques: Imaging, Sequencing, Software, Transformation Assay