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formulation classification » modulation classification (Expand Search), segmentation classification (Expand Search), emotion classification (Expand Search)
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formulation classification » modulation classification (Expand Search), segmentation classification (Expand Search), emotion classification (Expand Search)
based formulation » based simulation (Expand Search), based population (Expand Search), based simulations (Expand Search)
wolf optimization » whale optimization (Expand Search), swarm optimization (Expand Search), _ optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
binary 2 » binary _ (Expand Search), binary b (Expand Search)
2 wolf » _ wolf (Expand Search), a wolf (Expand Search)
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Data_Sheet_2_Predicting Axial Length From Choroidal Thickness on Optical Coherence Tomography Images With Machine Learning Based Algorithms.docx
Published 2022“…We used five machine-learning base algorithms to construct the classifiers. This study trained and validated the models to classify the AXLs eyes based on binary (AXL < or > 26 mm) and multiclass (AXL < 22 mm, between 22 and 26 mm, and > 26 mm) classifications.…”
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Data_Sheet_1_Predicting Axial Length From Choroidal Thickness on Optical Coherence Tomography Images With Machine Learning Based Algorithms.docx
Published 2022“…We used five machine-learning base algorithms to construct the classifiers. This study trained and validated the models to classify the AXLs eyes based on binary (AXL < or > 26 mm) and multiclass (AXL < 22 mm, between 22 and 26 mm, and > 26 mm) classifications.…”