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	<title>Ophthalmology Diagnostics &#8211; BIOENGINEER.ORG</title>
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		<title>Optimized U-Net Model for Retinal Disc Segmentation</title>
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		<pubDate>Sat, 24 Jan 2026 00:34:45 +0000</pubDate>
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		<category><![CDATA[Automated Optic Disc Segmentation]]></category>
		<category><![CDATA[Customized U-Net Architecture]]></category>
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		<category><![CDATA[Ophthalmology Diagnostics]]></category>
		<category><![CDATA[Retinal Fundus Images]]></category>
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					<description><![CDATA[In a groundbreaking study, researchers led by Skouta, A., along with Elmoufidi, A., Jai-Andaloussi, S. and their talented team, have unveiled a customized U-Net architecture specifically designed for the automated segmentation of optic discs in retinal fundus images. This pioneering approach seeks to enhance diagnostic accuracy and potentially revolutionize how we assess and monitor retinal [&#8230;]]]></description>
		
		
		
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