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	<title>CMAES optimization &#8211; BIOENGINEER.ORG</title>
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		<title>Evolution-Tuned AI Ensemble Reads Brain Tumor Scans With Near-Perfect Accuracy</title>
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		<pubDate>Sat, 10 Oct 2026 12:19:28 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[brain tumor classification]]></category>
		<category><![CDATA[Clinical decision support]]></category>
		<category><![CDATA[CMAES optimization]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[ensemble learning]]></category>
		<category><![CDATA[Explainable AI]]></category>
		<category><![CDATA[Grad-CAM]]></category>
		<category><![CDATA[LIME]]></category>
		<category><![CDATA[MRI]]></category>
		<category><![CDATA[precision oncology]]></category>
		<category><![CDATA[SHAP]]></category>
		<category><![CDATA[Transfer Learning]]></category>
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					<description><![CDATA[Researchers have built an explainable ensemble deep learning framework that fuses four transfer learning models using CMAES optimization to classify brain tumors in MRI scans with up to 99.93 percent accuracy.]]></description>
		
		
		
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