Search alternatives:
segmentation algorithm » selection algorithm (Expand Search)
feature segmentation » feature representation (Expand Search), feature selection (Expand Search), image segmentation (Expand Search)
design optimization » bayesian optimization (Expand Search)
binary each » binary health (Expand Search)
binary mapk » binary mask (Expand Search), binary image (Expand Search)
mapk design » task design (Expand Search), app design (Expand Search), tank designs (Expand Search)
Showing 1 - 12 results of 12 for search '(( binary each feature segmentation algorithm ) OR ( binary mapk design optimization algorithm ))*', query time: 0.42s Refine Results
  1. 1
    The main workflow of the proposed algorithm.

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

    Published 2023
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  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
    Save to List
    Saved in:
  4. 4
    Segmentation, trace denoising and spike extraction framework.

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

    Published 2021
    Save to List
    Saved in:
  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. …”
    Save to List
    Saved in:
  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. …”
    Save to List
    Saved in:
  7. 7
    <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).…”
    Save to List
    Saved in:
  8. 8
    Fig 1 -

    Fig 1 - by Monjoy Saha (12239792)

    Published 2022
    Save to List
    Saved in:
  9. 9
    Experimental setup and trajectory estimation methodology.

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

    Published 2023
    Save to List
    Saved in:
  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. …”
    Save to List
    Saved in:
  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. …”
    Save to List
    Saved in:
  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. …”
    Save to List
    Saved in:

Search Tools: