glcm features Search Results


glcm features  (Respiratory Motion)
90
Respiratory Motion glcm features
Glcm Features, supplied by Respiratory Motion, 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/result/glcm features/product/Respiratory Motion
Average 90 stars, based on 1 article reviews
glcm features - by Bioz Stars, 2026-04
90/100 stars
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glcm homogeneity feature  (Siemens AG)
90
Siemens AG glcm homogeneity feature
Comparison of <t>GLCM</t> Homogeneity feature calculated on images of the wood insert <t>from</t> <t>Phillips</t> and Siemens CT scans. The scans were reconstructed using the vendor-specific standard kernel. Left: Scatter plot with regression fit and confidence intervals plotted. Slope = 0.33 and intercept = 0.39. Right: Bland-Altman plot with lower and upper limits. RPC = reproducibility coefficient. CV = coefficient of variation.
Glcm Homogeneity Feature, supplied by Siemens AG, 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/result/glcm homogeneity feature/product/Siemens AG
Average 90 stars, based on 1 article reviews
glcm homogeneity feature - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
automatic feature extraction and detection of plant leaf disease using glcm features a volutional neural networks  (Chennai Corporation)
90
Chennai Corporation automatic feature extraction and detection of plant leaf disease using glcm features a volutional neural networks
Comparison of <t>GLCM</t> Homogeneity feature calculated on images of the wood insert <t>from</t> <t>Phillips</t> and Siemens CT scans. The scans were reconstructed using the vendor-specific standard kernel. Left: Scatter plot with regression fit and confidence intervals plotted. Slope = 0.33 and intercept = 0.39. Right: Bland-Altman plot with lower and upper limits. RPC = reproducibility coefficient. CV = coefficient of variation.
Automatic Feature Extraction And Detection Of Plant Leaf Disease Using Glcm Features A Volutional Neural Networks, supplied by Chennai Corporation, 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/result/automatic feature extraction and detection of plant leaf disease using glcm features a volutional neural networks/product/Chennai Corporation
Average 90 stars, based on 1 article reviews
automatic feature extraction and detection of plant leaf disease using glcm features a volutional neural networks - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


Comparison of GLCM Homogeneity feature calculated on images of the wood insert from Phillips and Siemens CT scans. The scans were reconstructed using the vendor-specific standard kernel. Left: Scatter plot with regression fit and confidence intervals plotted. Slope = 0.33 and intercept = 0.39. Right: Bland-Altman plot with lower and upper limits. RPC = reproducibility coefficient. CV = coefficient of variation.

Journal: Journal of computer assisted tomography

Article Title: Investigating the robustness Neighborhood Grey Tone Difference Matrix (NGTDM) and Grey Level Co-Occurrence Matrix (GLCM) radiomic features on clinical Computed Tomography systems using Anthropomorphic Phantoms: Evidence from a multivendor study

doi: 10.1097/RCT.0000000000000632

Figure Lengend Snippet: Comparison of GLCM Homogeneity feature calculated on images of the wood insert from Phillips and Siemens CT scans. The scans were reconstructed using the vendor-specific standard kernel. Left: Scatter plot with regression fit and confidence intervals plotted. Slope = 0.33 and intercept = 0.39. Right: Bland-Altman plot with lower and upper limits. RPC = reproducibility coefficient. CV = coefficient of variation.

Article Snippet: The GLCM homogeneity feature had a CCC of 0.387 between Phillips-SK and Siemens-SK scans.

Techniques: Comparison

Comparison of GLCM SumEntropy feature calculated on images of the wood insert from Phillips CT scans. The scans were reconstructed using the vendor-specific standard and lung kernels. Left: Scatter plot with regression fit and confidence intervals plotted. Slope = 0.90 and intercept = 0.47. Right: Bland-Altman plot with lower and upper limits of agreement. RPC = reproducibility coefficient, CV = coefficient of variation.

Journal: Journal of computer assisted tomography

Article Title: Investigating the robustness Neighborhood Grey Tone Difference Matrix (NGTDM) and Grey Level Co-Occurrence Matrix (GLCM) radiomic features on clinical Computed Tomography systems using Anthropomorphic Phantoms: Evidence from a multivendor study

doi: 10.1097/RCT.0000000000000632

Figure Lengend Snippet: Comparison of GLCM SumEntropy feature calculated on images of the wood insert from Phillips CT scans. The scans were reconstructed using the vendor-specific standard and lung kernels. Left: Scatter plot with regression fit and confidence intervals plotted. Slope = 0.90 and intercept = 0.47. Right: Bland-Altman plot with lower and upper limits of agreement. RPC = reproducibility coefficient, CV = coefficient of variation.

Article Snippet: The GLCM homogeneity feature had a CCC of 0.387 between Phillips-SK and Siemens-SK scans.

Techniques: Comparison