3-d gray-level co-occurrence matrices (glcm) (Philips Healthcare)
90
Structured Review
Philips Healthcare
3-d gray-level co-occurrence matrices (glcm)
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
https://www.bioz.com/product/3-d+gray-level+co-occurrence+matrices+(glcm)/matrix+transducer+systems/pmc04729215-94-92-107
Average 90 stars, based on 1 article reviews
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
https://www.bioz.com/product/3-d+gray-level+co-occurrence+matrices+(glcm)/matrix+transducer+systems/pmc04729215-94-92-107
Average 90 stars, based on 1 article reviews
3-d gray-level co-occurrence matrices (glcm) - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Imaging-genomic pipeline for identifying gene mutations using three-dimensional intra-tumor heterogeneity features Article Snippet: The histogram entropy ( e ) is a measure of uncertainty of the l gray levels in the image, thereby characterizing gray levels that represent image regions such as homogeneous patches versus noise. e = − ∑ l = 1 k | p ( l ) | log 2 | p ( l ) | . (2) The histogram uniformity ( u ) measures intensity variations in an image region. u = ∑ l = 1 k | p ( l ) | 2 . (3) Haralick texture features were computed from 3-D gray-level co-occurrence matrices (GLCM) of the original and filtered images using the code by |