gray level co-occurrence matrix properties Search Results


90
IEEE Access gray-level co-occurrence matrix enhanced convolutional neural network
Gray Level Co Occurrence Matrix Enhanced Convolutional Neural Network, supplied by IEEE Access, 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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Rocha labs gray-level co-occurrence matrices (glcm)
Gray Level Co Occurrence Matrices (Glcm), supplied by Rocha labs, 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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Siemens Healthineers magnetom skyra
Methodology of the included studies.
Magnetom Skyra, supplied by Siemens Healthineers, 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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Philips Healthcare 3-d gray-level co-occurrence matrices (glcm)
Methodology of the included studies.
3 D Gray Level Co Occurrence Matrices (Glcm), supplied by Philips Healthcare, 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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Harris Geospatial Solutions band4
Description of the input predictor variables used in this study (B1–B4 are Quickbird multispectral bands, while B5–B37 are identifications assigned to the derived spatial and spectral matrices).
Band4, supplied by Harris Geospatial Solutions, 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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Landauer Inc co-occurrence encoding
Description of the input predictor variables used in this study (B1–B4 are Quickbird multispectral bands, while B5–B37 are identifications assigned to the derived spatial and spectral matrices).
Co Occurrence Encoding, supplied by Landauer 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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Landauer Inc log-transformed co-occurrence count
Description of the input predictor variables used in this study (B1–B4 are Quickbird multispectral bands, while B5–B37 are identifications assigned to the derived spatial and spectral matrices).
Log Transformed Co Occurrence Count, supplied by Landauer 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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Landauer Inc latent semantic analysis
Description of the input predictor variables used in this study (B1–B4 are Quickbird multispectral bands, while B5–B37 are identifications assigned to the derived spatial and spectral matrices).
Latent Semantic Analysis, supplied by Landauer 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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Landauer Inc co-occurrence statistics
Description of the input predictor variables used in this study (B1–B4 are Quickbird multispectral bands, while B5–B37 are identifications assigned to the derived spatial and spectral matrices).
Co Occurrence Statistics, supplied by Landauer 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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Landauer Inc & dumais, 1997
Description of the input predictor variables used in this study (B1–B4 are Quickbird multispectral bands, while B5–B37 are identifications assigned to the derived spatial and spectral matrices).
& Dumais, 1997, supplied by Landauer 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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Landauer Inc lsa
Description of the input predictor variables used in this study (B1–B4 are Quickbird multispectral bands, while B5–B37 are identifications assigned to the derived spatial and spectral matrices).
Lsa, supplied by Landauer 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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Landauer Inc co-occurrence norms
Description of the input predictor variables used in this study (B1–B4 are Quickbird multispectral bands, while B5–B37 are identifications assigned to the derived spatial and spectral matrices).
Co Occurrence Norms, supplied by Landauer 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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Image Search Results


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

Description of the input predictor variables used in this study (B1–B4 are Quickbird multispectral bands, while B5–B37 are identifications assigned to the derived spatial and spectral matrices).

Journal: Remote sensing

Article Title: Comparing Pixel- and Object-Based Approaches in Effectively Classifying Wetland-Dominated Landscapes

doi: 10.3390/rs10010046

Figure Lengend Snippet: Description of the input predictor variables used in this study (B1–B4 are Quickbird multispectral bands, while B5–B37 are identifications assigned to the derived spatial and spectral matrices).

Article Snippet: Texture Metrics , Texture variables (contrast (B20), correlation (B21), dissimilarity (B22), entropy (B23), homogeneity (B24), mean (B25), 2nd moment (B26), and variance (B27)) computed as a measure of Gray Level Co-occurrence Matrix (GLCM) using Band4 (Harris Geospatial Solutions, Herndon, VA, USA, version 5.3). , Source: Harris Geospatial, Texture Metrics Background. Available online: www.harrisgeospatial.com/docs/backgroundtexturemetrics.html (accessed on 26 December 2017)..

Techniques: Derivative Assay, Transformation Assay