Semi-supervised 3D abdominal multi-organ segmentation via deep multi-planar co-training

Y Zhou, Y Wang, P Tang, S Bai, W Shen… - 2019 IEEE Winter …, 2019 - ieeexplore.ieee.org
In multi-organ segmentation of abdominal CT scans, most existing fully supervised deep
learning algorithms require lots of voxel-wise annotations, which are usually difficult …
被引用次数：162 相关文章
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[PDF][PDF] Semi-Supervised 3D Abdominal Multi-Organ Segmentation via Deep Multi-Planar Co-Training

Y Zhou, Y Wang, P Tang, S Bai, W Shen, EK Fishman… - robots.ox.ac.uk
In multi-organ segmentation of abdominal CT scans, most existing fully supervised deep
learning algorithms require lots of voxel-wise annotations, which are usually difficult …

[引用][C] Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training

Y Zhou, Y Wang, P Tang, S Bai, W Shen… - 2019 IEEE Winter …, 2019 - cir.nii.ac.jp
Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training
| CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ …

Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training

Y Zhou, Y Wang, P Tang, S Bai, W Shen… - 2019 IEEE Winter …, 2019 - computer.org
In multi-organ segmentation of abdominal CT scans, most existing fully supervised deep
learning algorithms require lots of voxel-wise annotations, which are usually difficult …

Semi-supervised 3D abdominal multi-organ segmentation via deep multi-planar co-training

Y Zhou, Y Wang, P Tang, S Bai… - 19th IEEE Winter …, 2019 - pure.johnshopkins.edu
In multi-organ segmentation of abdominal CT scans, most existing fully supervised deep
learning algorithms require lots of voxel-wise annotations, which are usually difficult …