<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1912.11027/</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/1912.11027/feed.xml" rel="self" type="application/rss+xml" /><item><title>Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach — HN submission</title><link>https://news.ycombinator.com/item?id=21917747</link><guid isPermaLink="false">urn:hackerpapers:submission:1912.11027:21917747</guid><pubDate>Mon, 30 Dec 2019 23:46:50 GMT</pubDate><description>&lt;p&gt;Breast cancer detection in mammography using deep learning approach&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;190 points; 116 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1912.11027/"&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>
