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Showing 1 - 12 results of 12 for search '(( binary each features segmentation algorithm ) OR ( binary mapk robust optimization algorithm ))', query time: 1.00s Refine Results
  1. 1
    The main workflow of the proposed algorithm.

    The main workflow of the proposed algorithm. by Xin Li (51274)

    Published 2023
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  2. 2
    Qualitative performance examples of <i>CosegPP</i>’s Buckwheat with three cosegmentation methods (DeepCO<sup>3</sup>, MIG, Subdiscover) and one plant phenotyping segmentation methods (Otsu Thresholding).

    Qualitative performance examples of <i>CosegPP</i>’s Buckwheat with three cosegmentation methods (DeepCO<sup>3</sup>, MIG, Subdiscover) and one plant phenotyping segmentation metho... by Rubi Quiñones (11378540)

    Published 2021
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  3. 3
    Qualitative performance examples of <i>CosegPP</i>’s Sunflower with three cosegmentation methods (DeepCO<sup>3</sup>, MIG, Subdiscover) and one plant phenotyping segmentation methods (Otsu Thresholding).

    Qualitative performance examples of <i>CosegPP</i>’s Sunflower with three cosegmentation methods (DeepCO<sup>3</sup>, MIG, Subdiscover) and one plant phenotyping segmentation metho... by Rubi Quiñones (11378540)

    Published 2021
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  4. 4
    Segmentation, trace denoising and spike extraction framework.

    Segmentation, trace denoising and spike extraction framework. by Changjia Cai (10647521)

    Published 2021
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  5. 5
    Key steps in neurodegeneration detection algorithm.

    Key steps in neurodegeneration detection algorithm. by Andrew S. Clark (16510496)

    Published 2023
    “…Lastly, active contour segmentation of these features improves feature shape definition. …”
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  6. 6
    PathOlOgics_RBCs Python Scripts.zip

    PathOlOgics_RBCs Python Scripts.zip by Ahmed Elsafty (16943883)

    Published 2023
    “…<p dir="ltr">The first algorithm for segmentation and localization (see PathOlOgics_script_1; segment & localize using a pen) relied on manually tracing the borders of each cell using a digital pen tool on a big touchscreen display showing source images/patches. …”
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  7. 7
    Fig 1 -

    Fig 1 - by Monjoy Saha (12239792)

    Published 2022
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  8. 8
    <b>Multimodal MRI radiomics</b><b> based on </b><b>habitat subregions of the tumor microenvironment</b><b> for predicting risk stratification in glioblastoma</b>

    <b>Multimodal MRI radiomics</b><b> based on </b><b>habitat subregions of the tumor microenvironment</b><b> for predicting risk stratification in glioblastoma</b> by Han Wang (21457334)

    Published 2025
    “…Following segmentation, quantitative imaging phenomic (QIP) features were derived from each tumor subregion with the Cancer Imaging Phenomics Toolkit (CaPTk) in accordance with the guidelines established by the Image Biomarker Standardisation Initiative (IBSI).…”
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  9. 9
    Experimental setup and trajectory estimation methodology.

    Experimental setup and trajectory estimation methodology. by Nouman Javed (16624785)

    Published 2023
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  10. 10
    Table_2_Radiomics analysis of contrast-enhanced CT scans can distinguish between clear cell and non-clear cell renal cell carcinoma in different imaging protocols.docx

    Table_2_Radiomics analysis of contrast-enhanced CT scans can distinguish between clear cell and non-clear cell renal cell carcinoma in different imaging protocols.docx by Bettina Katalin Budai (13951317)

    Published 2022
    “…After the three-dimensional segmentation, 107 radiomics features (RFs) were extracted from the tumor volumes in each contrast phase. …”
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  11. 11
    Table_1_Radiomics analysis of contrast-enhanced CT scans can distinguish between clear cell and non-clear cell renal cell carcinoma in different imaging protocols.DOCX

    Table_1_Radiomics analysis of contrast-enhanced CT scans can distinguish between clear cell and non-clear cell renal cell carcinoma in different imaging protocols.DOCX by Bettina Katalin Budai (13951317)

    Published 2022
    “…After the three-dimensional segmentation, 107 radiomics features (RFs) were extracted from the tumor volumes in each contrast phase. …”
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  12. 12
    Data_Sheet_1_Radiomics analysis of contrast-enhanced CT scans can distinguish between clear cell and non-clear cell renal cell carcinoma in different imaging protocols.XLSX

    Data_Sheet_1_Radiomics analysis of contrast-enhanced CT scans can distinguish between clear cell and non-clear cell renal cell carcinoma in different imaging protocols.XLSX by Bettina Katalin Budai (13951317)

    Published 2022
    “…After the three-dimensional segmentation, 107 radiomics features (RFs) were extracted from the tumor volumes in each contrast phase. …”
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