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    <title>Selective-Internal-Radiation-Therapy on Qualia Radiomics</title>
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      <title>AI-Powered Auto-Segmentation in Liver Cancer Therapy</title>
      <link>https://www.qradiomics.com/posts/2025-04-08-ai-powered-auto-segmentation-in-liver-cancer-therapy/</link>
      <pubDate>Tue, 08 Apr 2025 11:48:42 -0400</pubDate>
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      <description>&lt;p&gt;We’re excited to share our latest work published in &lt;em&gt;Technology in Cancer Research &amp;amp; Treatment&lt;/em&gt;: &lt;strong&gt;“Deep Learning-Based Auto-Segmentation for Liver Yttrium-90 Selective Internal Radiation Therapy”&lt;/strong&gt; — a collaboration between Jun Li, Rani Anne, and myself.&lt;/p&gt;
&lt;p&gt;This study introduces a &lt;strong&gt;deep learning (DL) model built on the 3D U-Net architecture&lt;/strong&gt;, developed to automatically segment the liver in CT scans for patients undergoing Y-90 Selective Internal Radiation Therapy (SIRT). Accurate liver segmentation is a critical step for calculating Y-90 dosage, traditionally done manually — a time-consuming and subjective process.&lt;/p&gt;</description>
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