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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Flood-Filling Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1611.00421/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1611.00421/feed.xml" rel="self" type="application/rss+xml" /><item><title>Flood-Filling Networks — mentioned by cxw</title><link>https://news.ycombinator.com/item?id=23697662</link><guid isPermaLink="false">urn:hackerpapers:mention:1611.00421:23697662</guid><pubDate>Wed, 01 Jul 2020 04:09:46 GMT</pubDate><description>&lt;p&gt;I also work in computer vision (for biological sciences). I use deep convnets every day, and certainly they are increasingly central in biology (https://arxiv.org/abs/1611.00421), proteomics (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3837439/, https://deepmind.com/blog/article/AlphaFold-Using-AI-for-sci...), astronomy (https://arxiv.org/abs/1902.05965), chemistry (https://www.nature.com/articles/s42254-019-0086-7, https://pubs.rsc.org/en/content/articlelanding/2019/sc/c8sc0...), many other sciences. I think it&amp;#x27;s great, they&amp;#x27;re enabling progress in lots of really tough scientific problems.…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1611.00421/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
