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in-house-developed matlab based software  (MathWorks Inc)


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    Structured Review

    MathWorks Inc in-house-developed matlab based software
    Significant features and extraction methods. DSS: disease-specific survival; GLCM: grey level co-occurence matrix; GLNU: Gray level non-uniformity; GLRLM: Gray-level run-length matrix; IQR: interquartile range; LRE: long run emphasis; LRLGE/LRHGE: long-run low/high gray level emphasis; LRLGLE: Long-run low gray-level emphasis; LZE: level zone emphasis feature value; LZHGE: large zone high gray level emphasis; LZLGE: large zone low gray level emphasis; MTV: metabolic tumour volume; NGLDM: neighbourhood gray level difference matrix; OS: overall survival; PFS: progression free survival; SD: standard deviation; SRHGLE: short run high gray level emphasis; SSF: spatial scaling factor; TLG: total lesion glycolysis.
    In House Developed Matlab Based Software, 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
    https://www.bioz.com/result/in-house-developed matlab based software/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    in-house-developed matlab based software - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "Role of Texture Analysis in Oropharyngeal Carcinoma: A Systematic Review of the Literature"

    Article Title: Role of Texture Analysis in Oropharyngeal Carcinoma: A Systematic Review of the Literature

    Journal: Cancers

    doi: 10.3390/cancers14102445

    Significant features and extraction methods. DSS: disease-specific survival; GLCM: grey level co-occurence matrix; GLNU: Gray level non-uniformity; GLRLM: Gray-level run-length matrix; IQR: interquartile range; LRE: long run emphasis; LRLGE/LRHGE: long-run low/high gray level emphasis; LRLGLE: Long-run low gray-level emphasis; LZE: level zone emphasis feature value; LZHGE: large zone high gray level emphasis; LZLGE: large zone low gray level emphasis; MTV: metabolic tumour volume; NGLDM: neighbourhood gray level difference matrix; OS: overall survival; PFS: progression free survival; SD: standard deviation; SRHGLE: short run high gray level emphasis; SSF: spatial scaling factor; TLG: total lesion glycolysis.
    Figure Legend Snippet: Significant features and extraction methods. DSS: disease-specific survival; GLCM: grey level co-occurence matrix; GLNU: Gray level non-uniformity; GLRLM: Gray-level run-length matrix; IQR: interquartile range; LRE: long run emphasis; LRLGE/LRHGE: long-run low/high gray level emphasis; LRLGLE: Long-run low gray-level emphasis; LZE: level zone emphasis feature value; LZHGE: large zone high gray level emphasis; LZLGE: large zone low gray level emphasis; MTV: metabolic tumour volume; NGLDM: neighbourhood gray level difference matrix; OS: overall survival; PFS: progression free survival; SD: standard deviation; SRHGLE: short run high gray level emphasis; SSF: spatial scaling factor; TLG: total lesion glycolysis.

    Techniques Used: Extraction, Standard Deviation, Software, Control, Diagnostic Assay, Selection, Imaging



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    MathWorks Inc in-house-developed matlab based software
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    MathWorks Inc matlab-based software developed in house by ajit joglekar
    Significant features and extraction methods. DSS: disease-specific survival; GLCM: grey level co-occurence matrix; GLNU: Gray level non-uniformity; GLRLM: Gray-level run-length matrix; IQR: interquartile range; LRE: long run emphasis; LRLGE/LRHGE: long-run low/high gray level emphasis; LRLGLE: Long-run low gray-level emphasis; LZE: level zone emphasis feature value; LZHGE: large zone high gray level emphasis; LZLGE: large zone low gray level emphasis; MTV: metabolic tumour volume; NGLDM: neighbourhood gray level difference matrix; OS: overall survival; PFS: progression free survival; SD: standard deviation; SRHGLE: short run high gray level emphasis; SSF: spatial scaling factor; TLG: total lesion glycolysis.
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    Image Search Results


    Significant features and extraction methods. DSS: disease-specific survival; GLCM: grey level co-occurence matrix; GLNU: Gray level non-uniformity; GLRLM: Gray-level run-length matrix; IQR: interquartile range; LRE: long run emphasis; LRLGE/LRHGE: long-run low/high gray level emphasis; LRLGLE: Long-run low gray-level emphasis; LZE: level zone emphasis feature value; LZHGE: large zone high gray level emphasis; LZLGE: large zone low gray level emphasis; MTV: metabolic tumour volume; NGLDM: neighbourhood gray level difference matrix; OS: overall survival; PFS: progression free survival; SD: standard deviation; SRHGLE: short run high gray level emphasis; SSF: spatial scaling factor; TLG: total lesion glycolysis.

    Journal: Cancers

    Article Title: Role of Texture Analysis in Oropharyngeal Carcinoma: A Systematic Review of the Literature

    doi: 10.3390/cancers14102445

    Figure Lengend Snippet: Significant features and extraction methods. DSS: disease-specific survival; GLCM: grey level co-occurence matrix; GLNU: Gray level non-uniformity; GLRLM: Gray-level run-length matrix; IQR: interquartile range; LRE: long run emphasis; LRLGE/LRHGE: long-run low/high gray level emphasis; LRLGLE: Long-run low gray-level emphasis; LZE: level zone emphasis feature value; LZHGE: large zone high gray level emphasis; LZLGE: large zone low gray level emphasis; MTV: metabolic tumour volume; NGLDM: neighbourhood gray level difference matrix; OS: overall survival; PFS: progression free survival; SD: standard deviation; SRHGLE: short run high gray level emphasis; SSF: spatial scaling factor; TLG: total lesion glycolysis.

    Article Snippet: Kuno H et al., 2017 [ ] , Semiautomated ROI , Significant predictors of outcome of chemotherapy in patients with SCC were 3 histogram features and 4 gray-level run-length features. , In-house-developed MATLAB based software (software version unavailable) , \.

    Techniques: Extraction, Standard Deviation, Software, Control, Diagnostic Assay, Selection, Imaging