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	<title>ADAMW &#8211; BIOENGINEER.ORG</title>
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		<title>Hybrid Optimizer Sharpens Deep Learning&#8217;s Eye for Skin Cancer</title>
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		<category><![CDATA[ADAMW]]></category>
		<category><![CDATA[convolutional neural networks]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[dermoscopy]]></category>
		<category><![CDATA[explainability]]></category>
		<category><![CDATA[Feature Selection]]></category>
		<category><![CDATA[Grad-CAM]]></category>
		<category><![CDATA[hybrid optimizer]]></category>
		<category><![CDATA[ISIC-2020]]></category>
		<category><![CDATA[melanoma]]></category>
		<category><![CDATA[skin cancer]]></category>
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					<description><![CDATA[Researchers in India report that a hybrid ADAMW plus SGD optimizer with embedded feature selection boosts deep learning accuracy for skin cancer detection across multiple dermoscopic datasets.]]></description>
		
		
		
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