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	<title>MITEL - Medical Informatics, Telemedicine &#38; eHealth Lab &#187; paper</title>
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	<description>at the University of Udine, Italy</description>
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		<title>Automated recognition of hotspots in Ki67 slides: paper online now</title>
		<link>https://mitel.dimi.uniud.it/mitel2/?p=77</link>
		<comments>https://mitel.dimi.uniud.it/mitel2/?p=77#comments</comments>
		<pubDate>Wed, 10 May 2017 11:58:49 +0000</pubDate>
		<dc:creator><![CDATA[admin]]></dc:creator>
				<category><![CDATA[News]]></category>
		<category><![CDATA[image analysis]]></category>
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		<description><![CDATA[A paper on automated recognition of hotspots in which to evaluate Ki67 positivity has been just accepted and published online by Computerized Medical Imaging and Graphics: David Pilutti, Vincenzo Della Mea, Enrico Pegolo, Francesco La Marra, Fulvio Antoniazzi, Carla Di Loreto. An adaptive positivity thresholding method for automated Ki67 hotspot detection (AKHoD) in breast cancer [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>A paper on automated recognition of hotspots in which to evaluate Ki67 positivity has been just accepted and published online by Computerized Medical Imaging and Graphics:</p>
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<p><em>David Pilutti, Vincenzo Della Mea, Enrico Pegolo, Francesco La Marra, Fulvio Antoniazzi, Carla Di Loreto. <a href="http://www.medicalimagingandgraphics.com/article/S0895-6111(17)30036-8/pdf">An adaptive positivity thresholding method for automated Ki67 hotspot detection (AKHoD) in breast cancer biopsies</a>. Computerized Medical Imaging and Graphics, 2017, in press.</em></p>
<p>The work has been carried out with funding by the <a href="http://aidpath.eu" target="_blank">AIDPATH</a> Marie Curie EU FP7 project, grant no.612471.</p>
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<p><a href="http://mitel.dimi.uniud.it/mitel2/wp-content/uploads/2017/05/AKHOD.png"><img class="alignnone size-medium wp-image-78" src="http://mitel.dimi.uniud.it/mitel2/wp-content/uploads/2017/05/AKHOD-300x237.png" alt="AKHOD" width="300" height="237" /></a></p>
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