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          <dc:title>&lt;p&gt;Annotation efficiency summary on the TIGER ROI dataset. Number of labeled tiles required to reach mIoU  and annotation savings relative to SmartHisto. “-” indicates the method never reached the target within the 122-tile budget.&lt;/p&gt;</dc:title>
          <dc:creator>Sriram Vijendran (21520036)</dc:creator>
          <dc:creator>Bailey Arruda (6709262)</dc:creator>
          <dc:creator>Tavis K. Anderson (7380986)</dc:creator>
          <dc:creator>Oliver Eulenstein (3291621)</dc:creator>
          <dc:subject>Space Science</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Information Systems not elsewhere classified</dc:subject>
          <dc:subject>xlink "&gt; accurate</dc:subject>
          <dc:subject>utilizing large expert</dc:subject>
          <dc:subject>making expert labeling</dc:subject>
          <dc:subject>identify informative regions</dc:subject>
          <dc:subject>demonstrating substantial reductions</dc:subject>
          <dc:subject>bayesian neural network</dc:subject>
          <dc:subject>advancing systems biology</dc:subject>
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          <dc:subject>bayesian active learning</dc:subject>
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          <dc:subject>biological images</dc:subject>
          <dc:subject>variable staining</dc:subject>
          <dc:subject>recent advancements</dc:subject>
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          <dc:subject>medical research</dc:subject>
          <dc:subject>mean iou</dc:subject>
          <dc:subject>major challenge</dc:subject>
          <dc:subject>image processing</dc:subject>
          <dc:subject>fixed magnifications</dc:subject>
          <dc:subject>efficient characterization</dc:subject>
          <dc:subject>developing automated</dc:subject>
          <dc:subject>approach employs</dc:subject>
          <dc:subject>annotation requirements</dc:subject>
          <dc:description>&lt;p&gt;Annotation efficiency summary on the TIGER ROI dataset. Number of labeled tiles required to reach mIoU  and annotation savings relative to SmartHisto. “-” indicates the method never reached the target within the 122-tile budget.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-17T17:55:37Z</dc:date>
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          <dc:identifier>10.1371/journal.pcbi.1013611.t004</dc:identifier>
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