Convolutional networks are powerful visual models that yield hierarchies of features. Jonathan Long, et al., "Fully Convolutional Networks for Semantic Segmentation" https://arxiv.org/abs/1411.4038 全結合層を使わないCNNで、あらゆる画像サイ…

The full implementation (based on Caffe) and the trained networks are available at http://lmb.informatik.uni-freiburg.de/people/ronneber/u-net. Olaf Ronneberger, et al., "U-Net: Convolutional Networks for Biomedical Image Segmentation" htt…

Segmentation of a 512x512 image takes less than a second on a recent GPU. Olaf Ronneberger, et al., "U-Net: Convolutional Networks for Biomedical Image Segmentation" https://arxiv.org/abs/1505.04597 医療用画像のようにデータ数をたくさん用意…

Moreover, the network is fast. Olaf Ronneberger, et al., "U-Net: Convolutional Networks for Biomedical Image Segmentation" https://arxiv.org/abs/1505.04597 医療用画像のようにデータ数をたくさん用意できない場合においても、精度の良いセグメン…

Using the same network trained on transmitted light microscopy images (phase contrast and DIC) we won the ISBI cell tracking challenge 2015 in these categories by a large margin. Olaf Ronneberger, et al., "U-Net: Convolutional Networks for…