<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Segmentation on 南巷</title><link>https://nx.wmlab.top/tags/segmentation/</link><description>Recent content in Segmentation on 南巷</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>liuwenhao1968@163.com (南巷)</managingEditor><webMaster>liuwenhao1968@163.com (南巷)</webMaster><copyright>© 2026 南巷</copyright><lastBuildDate>Wed, 15 Jan 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://nx.wmlab.top/tags/segmentation/index.xml" rel="self" type="application/rss+xml"/><item><title>2018 Data Science Bowl：细胞核分割</title><link>https://nx.wmlab.top/portfolio/data-science-bowl-nuclei-segmentation/</link><pubDate>Wed, 15 Jan 2025 00:00:00 +0000</pubDate><author>liuwenhao1968@163.com (南巷)</author><guid>https://nx.wmlab.top/portfolio/data-science-bowl-nuclei-segmentation/</guid><description>改进 U-Net 进行细胞核实例分割，结合 Deformable Convolution、密集跳跃连接和强数据增强，最终排名前 5%。</description></item><item><title>2018 Data Science Bowl</title><link>https://nx.wmlab.top/competitions/data-science-bowl-2018/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><author>liuwenhao1968@163.com (南巷)</author><guid>https://nx.wmlab.top/competitions/data-science-bowl-2018/</guid><description>改进 U-Net，引入 Deformable Convolution、密集跳跃连接与复合损失，提升核形态和尺度建模能力。</description></item></channel></rss>