بدائل البحث:
process optimization » model optimization (توسيع البحث)
pose optimization » dose optimization (توسيع البحث), phase optimization (توسيع البحث), cost optimization (توسيع البحث)
same process » damage process (توسيع البحث), simple process (توسيع البحث), phase process (توسيع البحث)
binary same » binary image (توسيع البحث)
process optimization » model optimization (توسيع البحث)
pose optimization » dose optimization (توسيع البحث), phase optimization (توسيع البحث), cost optimization (توسيع البحث)
same process » damage process (توسيع البحث), simple process (توسيع البحث), phase process (توسيع البحث)
binary same » binary image (توسيع البحث)
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Image processing workflow.
منشور في 2020"…<p>Raw fluorescent microscope images (a) were processed with a binary segmentation algorithm, and clusters of bacterial cells were manually annotated. …"
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Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports
منشور في 2020"…The aim of this study was to develop a natural language processing (NLP) algorithm for binary classification (single metastasis versus two or more metastases) in bone scintigraphy reports of patients undergoing surgery for bone metastases.…"
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Table_1_bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.docx
منشور في 2023"…In bSRWPSO-FKNN, the core of which is to optimize the classification performance of FKNN through binary SRWPSO.…"
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PathOlOgics_RBCs Python Scripts.zip
منشور في 2023"…This process generated a ground-truth binary semantic segmentation mask and determined the bounding box coordinates (XYWH) for each cell. …"
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GSE96058 information.
منشور في 2024"…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …"
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The performance of classifiers.
منشور في 2024"…Subsequently, feature selection was conducted using ANOVA and binary Particle Swarm Optimization (PSO). During the analysis phase, the discriminative power of the selected features was evaluated using machine learning classification algorithms. …"