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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>xLSTM-UNet can be an Effective 2D &amp; 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba Counterpart · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2407.01530/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2407.01530/feed.xml" rel="self" type="application/rss+xml" /><item><title>xLSTM-UNet can be an Effective 2D &amp; 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba Counterpart — HN submission</title><link>https://news.ycombinator.com/item?id=40855311</link><guid isPermaLink="false">urn:hackerpapers:submission:2407.01530:40855311</guid><pubDate>Tue, 02 Jul 2024 10:49:11 GMT</pubDate><description>&lt;p&gt;xLSTM-UNet can be an Effective 2D and 3D Medical Image Segmentation Backbone&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2407.01530/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>eess.IV</category></item></channel></rss>
