يعرض 1 - 5 نتائج من 5 نتيجة بحث عن '(( binary image cross optimization algorithm ) OR ( binary climate based optimization algorithm ))', وقت الاستعلام: 1.10s تنقيح النتائج
  1. 1

    ROC curve for binary classification. حسب Nicodemus Songose Awarayi (18414494)

    منشور في 2024
    "…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"
  2. 2

    Confusion matrix for binary classification. حسب Nicodemus Songose Awarayi (18414494)

    منشور في 2024
    "…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"
  3. 3

    Testing results for classifying AD, MCI and NC. حسب Nicodemus Songose Awarayi (18414494)

    منشور في 2024
    "…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"
  4. 4

    Summary of existing CNN models. حسب Nicodemus Songose Awarayi (18414494)

    منشور في 2024
    "…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"
  5. 5

    DataSheet_1_Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer.docx حسب Yuhong Huang (115702)

    منشور في 2021
    "…We applied several feature selection strategies including the least absolute shrinkage and selection operator (LASSO), and recursive feature elimination (RFE), the maximum relevance minimum redundancy (mRMR), Boruta and Pearson correlation analysis, to select the most optimal features. We then built 120 diagnostic models using distinct classification algorithms and feature sets divided by MRI sequences and selection strategies to predict molecular subtype and AR expression of breast cancer in the testing dataset of leave-one-out cross-validation (LOOCV). …"