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	<title>2.5D segmentation &#8211; BIOENGINEER.ORG</title>
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		<title>Tiny AI Model Reads Tumor Shapes to Map Brain Cancer With a Fraction of the Parameters</title>
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		<pubDate>Mon, 05 Oct 2026 10:17:46 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[2.5D segmentation]]></category>
		<category><![CDATA[Attention U-Net]]></category>
		<category><![CDATA[brain tumor segmentation]]></category>
		<category><![CDATA[BraTS]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[Dice coefficient]]></category>
		<category><![CDATA[glioma]]></category>
		<category><![CDATA[Medical Image Analysis]]></category>
		<category><![CDATA[model efficiency]]></category>
		<category><![CDATA[morphology-aware modulation]]></category>
		<category><![CDATA[multimodal MRI]]></category>
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					<description><![CDATA[A new lightweight AI framework called RAML embeds tumor subregion identity and geometric descriptors directly into its architecture, trading a small accuracy gap for a 4.7- to 13.2-fold reduction in model size on brain tumor segmentation.]]></description>
		
		
		
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