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	<title>benign-malignant classification &#8211; BIOENGINEER.ORG</title>
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		<title>AI Turns Ordinary Ultrasound Into a Lung Cancer Spotter, Rivaling Expert Radiologists</title>
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		<pubDate>Fri, 09 Oct 2026 13:53:07 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[benign-malignant classification]]></category>
		<category><![CDATA[computer-aided diagnosis]]></category>
		<category><![CDATA[deep learning]]></category>
		<category><![CDATA[DenseNet121]]></category>
		<category><![CDATA[image segmentation]]></category>
		<category><![CDATA[lung cancer]]></category>
		<category><![CDATA[Medical Imaging]]></category>
		<category><![CDATA[nnU-Net]]></category>
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		<category><![CDATA[subpleural pulmonary lesions]]></category>
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					<description><![CDATA[A two-stage deep learning framework can automatically segment subpleural lung lesions on grayscale ultrasound and distinguish benign from malignant cases, significantly improving diagnostic accuracy for junior radiologists across multiple hospitals.]]></description>
		
		
		
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