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	<title>Tıbbi Görüntüleme** * **Geometrik Derin Öğrenme:** Makalenin temel teknolojisi ve ana odağı. * **Beyin Tümörü Segmentasyonu &#8211; BIOENGINEER.ORG</title>
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		<title>Revolutionizing Brain Tumor Analysis with Mod-SE(2)</title>
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		<pubDate>Mon, 12 Jan 2026 09:40:38 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Beyin Tümörü Segmentasyonu]]></category>
		<category><![CDATA[İşte içerik için 5 uygun etiket: **Geometrik Derin Öğrenme]]></category>
		<category><![CDATA[Mod-SE(2)]]></category>
		<category><![CDATA[MRG Analizi]]></category>
		<category><![CDATA[Tıbbi Görüntüleme** * **Geometrik Derin Öğrenme:** Makalenin temel teknolojisi ve ana odağı. * **Beyin Tümörü Segmentasyonu]]></category>
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					<description><![CDATA[In a groundbreaking study, researchers have introduced an innovative framework known as Mod-SE(2), which utilizes geometric deep learning techniques to tackle the formidable challenges posed by brain tumor classification and segmentation in magnetic resonance imaging (MRI) scans. This significant advancement stands as a beacon of hope for medical professionals who rely on precise diagnostic tools [&#8230;]]]></description>
		
		
		
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