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		<title>AI Framework Reads Lung Tumors With Unusual Precision on CT Scans</title>
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		<pubDate>Sat, 17 Oct 2026 19:44:46 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[BAMR-HF]]></category>
		<category><![CDATA[Boundary-aware]]></category>
		<category><![CDATA[CT segmentation]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[learning]]></category>
		<category><![CDATA[lung cancer]]></category>
		<category><![CDATA[Medical Imaging]]></category>
		<category><![CDATA[multi-scale]]></category>
		<category><![CDATA[radiomics]]></category>
		<category><![CDATA[residual]]></category>
		<category><![CDATA[tumor classification]]></category>
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					<description><![CDATA[A new AI framework called BAMR-HF combines boundary-aware segmentation, radiomic–deep feature fusion, and contextual modeling to segment and classify lung tumors on CT scans, achieving 0.9478 accuracy and 0.9872 AUC on a held-out test set of 264 images.]]></description>
		
		
		
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