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	<title>false positives per image &#8211; BIOENGINEER.ORG</title>
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		<title>AI Learns to Read X-rays Like a Radiologist to Spot Bone Tumors With Few False Alarms</title>
		<link>https://bioengineer.org/ai-learns-to-read-x-rays-like-a-radiologist-to-spot-bone-tumors-with-few-false-alarms/</link>
		
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		<pubDate>Thu, 08 Oct 2026 23:16:27 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[bone tumor detection]]></category>
		<category><![CDATA[BTXRD]]></category>
		<category><![CDATA[computer-aided detection]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[EfficientNetV2]]></category>
		<category><![CDATA[false positives per image]]></category>
		<category><![CDATA[FROC analysis]]></category>
		<category><![CDATA[leave-one-center-out validation]]></category>
		<category><![CDATA[MURA]]></category>
		<category><![CDATA[radiography]]></category>
		<category><![CDATA[Transfer Learning]]></category>
		<category><![CDATA[YOLOv8]]></category>
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					<description><![CDATA[Researchers built a two-stage, biomimetically inspired AI pipeline that detects primary bone tumors on X-rays while respecting strict false-alarm budgets, revealing both promising sensitivity and fragile cross-source generalization.]]></description>
		
		
		
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