<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Patent |</title><link>https://hongchenghan.github.io/tags/patent/</link><atom:link href="https://hongchenghan.github.io/tags/patent/index.xml" rel="self" type="application/rss+xml"/><description>Patent</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Oct 2025 00:00:00 +0000</lastBuildDate><image><url>https://hongchenghan.github.io/media/icon_hu_da05098ef60dc2e7.png</url><title>Patent</title><link>https://hongchenghan.github.io/tags/patent/</link></image><item><title>Smart Ultrasound Imaging Patent</title><link>https://hongchenghan.github.io/patents/example-patent/</link><pubDate>Wed, 01 Oct 2025 00:00:00 +0000</pubDate><guid>https://hongchenghan.github.io/patents/example-patent/</guid><description>&lt;p&gt;This patent describes a novel method for enhancing medical ultrasound image analysis by combining multi-modal features and learning robust segmentation representations.&lt;/p&gt;
&lt;p&gt;Key contributions:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Adaptive image fusion for B-mode and elastography&lt;/li&gt;
&lt;li&gt;Novel deep learning architecture for noise-robust segmentation&lt;/li&gt;
&lt;li&gt;Practical deployment workflow for clinical ultrasound systems&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>