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sera package  (MathWorks Inc)


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    Structured Review

    MathWorks Inc sera package
    Neural <t>network-RADIOMICS</t> architecture.
    Sera Package, 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/product/sera+package/pmc10916749-82-4-11
    Average 90 stars, based on 1 article reviews
    sera package - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "Greater accuracy of radiomics compared to deep learning to discriminate normal subjects from patients with dementia: a whole brain 18FDG PET analysis"

    Article Title: Greater accuracy of radiomics compared to deep learning to discriminate normal subjects from patients with dementia: a whole brain 18FDG PET analysis

    Journal: Nuclear Medicine Communications

    doi: 10.1097/MNM.0000000000001810

    Neural network-RADIOMICS architecture.
    Figure Legend Snippet: Neural network-RADIOMICS architecture.

    Techniques Used:

    Probability score for a subject to be normal or pathological for various types of dementia
    Figure Legend Snippet: Probability score for a subject to be normal or pathological for various types of dementia

    Techniques Used: Biomarker Discovery

    Related Articles

    other:

    Article Title: Radiomics Modeling of Catastrophic Proximal Sesamoid Bone Fractures in Thoroughbred Racehorses Using μCT
    Article Snippet: Similarities in radiomic feature differences were observed when using either the Python-based PyRadiomics package or the Matlab-based SERA package, which suggests that these feature differences are reproducible and may be less sensitive to inconspicuous settings when performing radiomics calculations.

    Article Title: Synergistic impact of motion and acquisition/reconstruction parameters on 18 F‐FDG PET radiomic features in non‐small cell lung cancer: Phantom and clinical studies
    Article Snippet: One hundred and seventy‐four 3D radiomic features compliant with IBSI guidelines were extracted using SERA package written in MATLAB.

    Biomarker Discovery:

    Article Title: Greater accuracy of radiomics compared to deep learning to discriminate normal subjects from patients with dementia: a whole brain 18FDG PET analysis
    Article Snippet: .. The Standardized Environment for Radiomics Analysis (SERA) Package [ ] (a Matlab-based framework) was used for this purpose, in which features are consistent with the guidelines of Image Biomarker Standardization Initiative. ..



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    Image Search Results


    Neural network-RADIOMICS architecture.

    Journal: Nuclear Medicine Communications

    Article Title: Greater accuracy of radiomics compared to deep learning to discriminate normal subjects from patients with dementia: a whole brain 18FDG PET analysis

    doi: 10.1097/MNM.0000000000001810

    Figure Lengend Snippet: Neural network-RADIOMICS architecture.

    Article Snippet: The Standardized Environment for Radiomics Analysis (SERA) Package [ ] (a Matlab-based framework) was used for this purpose, in which features are consistent with the guidelines of Image Biomarker Standardization Initiative.

    Techniques:

    Probability score for a subject to be normal or pathological for various types of dementia

    Journal: Nuclear Medicine Communications

    Article Title: Greater accuracy of radiomics compared to deep learning to discriminate normal subjects from patients with dementia: a whole brain 18FDG PET analysis

    doi: 10.1097/MNM.0000000000001810

    Figure Lengend Snippet: Probability score for a subject to be normal or pathological for various types of dementia

    Article Snippet: The Standardized Environment for Radiomics Analysis (SERA) Package [ ] (a Matlab-based framework) was used for this purpose, in which features are consistent with the guidelines of Image Biomarker Standardization Initiative.

    Techniques: Biomarker Discovery