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	<title>synthetic medical images &#8211; BIOENGINEER.ORG</title>
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		<title>Latent diffusion balances diabetic retinopathy data and boosts screening models</title>
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		<pubDate>Mon, 26 Oct 2026 20:31:56 +0000</pubDate>
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		<category><![CDATA[balanced]]></category>
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		<category><![CDATA[class imbalance]]></category>
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		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[diabetic]]></category>
		<category><![CDATA[diabetic retinopathy]]></category>
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		<category><![CDATA[image synthesis]]></category>
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		<category><![CDATA[retinal screening]]></category>
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					<description><![CDATA[A class-conditional latent diffusion model generated high-resolution synthetic retinal images that balanced diabetic retinopathy classes and improved validation accuracy across 11 deep-learning architectures.]]></description>
		
		
		
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