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		<title>AI Reads Retinal Scans With Frequency and Topology Awareness for Sharper OCT Diagnosis</title>
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		<pubDate>Sun, 18 Oct 2026 21:05:05 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Attention Mechanism]]></category>
		<category><![CDATA[Complex & Intelligent Systems]]></category>
		<category><![CDATA[Cross-domain generalization]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[Explainable AI]]></category>
		<category><![CDATA[frequency-semantic representation]]></category>
		<category><![CDATA[lesion localization]]></category>
		<category><![CDATA[Medical Imaging]]></category>
		<category><![CDATA[retinal disease classification]]></category>
		<category><![CDATA[retinal OCT]]></category>
		<category><![CDATA[topology-aware learning]]></category>
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					<description><![CDATA[A new explainable transformer that combines frequency-domain analysis and topology-aware structural modeling achieves 97.86 percent accuracy in classifying eight retinal disease categories from OCT scans.]]></description>
		
		
		
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