Home Hot keywords

Search Modes

全部

搜索结果

作者:O Ronneberger2015被引用次数:28794 — Title:U-Net: Convolutional Networks for Biomedical Image Segmentation ... In this paper, we present a network and training strategy that ...
作者:O Ronneberger2015被引用次数:28794 — U-Net: Convolutional Networks for Biomedical Image Segmentation. Authors; Authors and affiliations. Olaf Ronneberger Email author ...

其他用户还问了以下问题

作者:O Ronneberger被引用次数:28794 — The u-net is convolutional network architecture for fast and precise segmentation of images. Up to now it has outperformed the prior best method (a sliding- ...
Request PDF | U-Net: Convolutional Networks for Biomedical Image Segmentation | There is large consent that successful training of deep networks requires ...
U-Net: Convolutional Networks for Biomedical Image Segmentation · Supplemental Code · Figures, Tables, and Topics from this paper · Paper Mentions · 22,869 ...
The U-Net architecture is built upon the Fully Convolutional Network and modified in a way that it yields better segmentation in medical imaging. The paper ...
U-Net · is a convolutional neural network that was developed for biomedical image segmentation at the Computer Science Department of the University of Freiburg.
U-Net: Convolutional Networks for Biomedical Image Segmentation. Olaf Ronneberger Computer Science Department and BIOSS Centre for Biological Signalling ...
选择图片即可提供反馈
浏览所有图片
提供反馈

google search trends