Search alternatives:
protein optimization » process optimization (Expand Search), property optimization (Expand Search), driven optimization (Expand Search)
based optimization » whale optimization (Expand Search)
based protein » capsid protein (Expand Search), based proteomics (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
mri based » i based (Expand Search)
protein optimization » process optimization (Expand Search), property optimization (Expand Search), driven optimization (Expand Search)
based optimization » whale optimization (Expand Search)
based protein » capsid protein (Expand Search), based proteomics (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
mri based » i based (Expand Search)
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Presentation_1_Modified GAN Augmentation Algorithms for the MRI-Classification of Myocardial Scar Tissue in Ischemic Cardiomyopathy.PPTX
Published 2021“…Currently, there are no optimized deep-learning algorithms for the automated classification of scarred vs. normal myocardium. …”
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Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield...
Published 2022“…The objective of this research was to employ efficient biomarkers for the diagnostic analysis and classification of AD based on combining structural MRI (sMRI) and resting-state functional MRI (rs-fMRI). …”
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DataSheet_1_Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer.docx
Published 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). …”
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DataSheet_1_Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.docx
Published 2024“…Logistic regression emerged as the optimal machine learning algorithm for both DLR models. …”