Search alternatives:
significant detection » significant reduction (Expand Search), significant attention (Expand Search), significant deviation (Expand Search)
significant source » significant burden (Expand Search), significant cause (Expand Search)
detection datasets » detection dataset (Expand Search), detection rates (Expand Search), detection data (Expand Search)
significant detection » significant reduction (Expand Search), significant attention (Expand Search), significant deviation (Expand Search)
significant source » significant burden (Expand Search), significant cause (Expand Search)
detection datasets » detection dataset (Expand Search), detection rates (Expand Search), detection data (Expand Search)
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Significant segments detected by TwinCons for protein composite alignments.
Published 2021“…<p>Sequence ranges for segments detected as significant with TwinCons and in parenthesis their respective distance from the decision boundary. …”
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Data Sheet 1_Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent...
Published 2025“…Notably, the majority of significant sources were not continuously active; however, when these sources switched “ON,” the spatial variability of AF cycle lengths in the respective atrium decreased by more than 50%, suggesting an entraining effect.…”
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dataset.rar
Published 2025“…<p dir="ltr">A custom dataset was constructed for spoon food presence detection, containing manually labeled images across two categories: food present (Y) and no significant food (N). …”
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Specificity evaluation using OIDR dataset.
Published 2024“…This advancement sets a new standard in DED detection and offers significant potential for automating fundus image analysis, reducing reliance on manual examination, and improving patient care efficiency. …”
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Sensitivity evaluation using OIDR dataset.
Published 2024“…This advancement sets a new standard in DED detection and offers significant potential for automating fundus image analysis, reducing reliance on manual examination, and improving patient care efficiency. …”
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MCC evaluation using OIDR dataset.
Published 2024“…This advancement sets a new standard in DED detection and offers significant potential for automating fundus image analysis, reducing reliance on manual examination, and improving patient care efficiency. …”
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Accuracy evaluation using OIDR dataset.
Published 2024“…This advancement sets a new standard in DED detection and offers significant potential for automating fundus image analysis, reducing reliance on manual examination, and improving patient care efficiency. …”
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