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		<title>CFT-Triplet improves AI detection of thin pulmonary fissures</title>
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		<pubDate>Tue, 20 Oct 2026 12:54:38 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[CFT-Triplet]]></category>
		<category><![CDATA[chest CT]]></category>
		<category><![CDATA[contextual]]></category>
		<category><![CDATA[COPD]]></category>
		<category><![CDATA[Frequency]]></category>
		<category><![CDATA[frequency-domain learning]]></category>
		<category><![CDATA[image segmentation]]></category>
		<category><![CDATA[Integrating]]></category>
		<category><![CDATA[Mamba2]]></category>
		<category><![CDATA[Medical AI]]></category>
		<category><![CDATA[pulmonary fissures]]></category>
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					<description><![CDATA[A hybrid AI framework combining Mamba2 context modeling, frequency-domain refinement and local texture analysis outperformed leading baselines for detecting pulmonary fissures in a retrospective study that tested the model on 40 held-out chest CT scans.]]></description>
		
		
		
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