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medical image interaction toolkit mitk3m3 image analysis  (MathWorks Inc)


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    Structured Review

    MathWorks Inc medical image interaction toolkit mitk3m3 image analysis
    Medical Image Interaction Toolkit Mitk3m3 Image Analysis, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2633 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/medical image interaction toolkit mitk3m3 image analysis/product/MathWorks Inc
    Average 96 stars, based on 2633 article reviews
    medical image interaction toolkit mitk3m3 image analysis - by Bioz Stars, 2026-03
    96/100 stars

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    Image Search Results


    Characteristics of the articles included in the systematic review. Bold articles are those that are also included in the meta-analysis. Bold feature extraction software are those adherent to IBSI nomenclature.

    Journal: Diagnostics

    Article Title: Radiomics Features in Predicting Human Papillomavirus Status in Oropharyngeal Squamous Cell Carcinoma: A Systematic Review, Quality Appraisal, and Meta-Analysis

    doi: 10.3390/diagnostics14070737

    Figure Lengend Snippet: Characteristics of the articles included in the systematic review. Bold articles are those that are also included in the meta-analysis. Bold feature extraction software are those adherent to IBSI nomenclature.

    Article Snippet: Republic of Korea , 2020 , Suh [ ] , Retrospective , OPSCC , T1WI, T2WI, CE-T1WI, and ADC maps , 221 , 1618 , Not determined individually , LASSO , Logistic regression, random forest , Manual , Matlab , Medical imaging interaction toolkit (MITK) , Features extracted from ADC maps were the most relevant in differentiating HPV-positive and -negative lesions.

    Techniques: Extraction, Software, Selection, Immunocytochemistry, Computed Tomography, Diffusion-based Assay, Imaging, Mann-Whitney U-Test, Standard Deviation