Orthogonal annotation benefits barely-supervised medical image segmentation

H Cai, S Li, L Qi, Q Yu, Y Shi… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Recent trends in semi-supervised learning have significantly boosted the performance of 3D
semi-supervised medical image segmentation. Compared with 2D images, 3D medical …

Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation

H Cai, S Li, L Qi, Q Yu, Y Shi, Y Gao - cvpr.thecvf.com
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation Page 1 Heng
Cai1 , Shumeng Li1 , Lei Qi2 , Qian Yu3 , Yinghuan Shi1,*, Yang Gao1 1Nanjing University …

Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation

H Cai, S Li, L Qi, Q Yu, Y Shi, Y Gao - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Recent trends in semi-supervised learning have significantly boosted the performance of 3D
semi-supervised medical image segmentation. Compared with 2D images, 3D medical …

Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation

H Cai, S Li, L Qi, Q Yu, Y Shi, Y Gao - arXiv preprint arXiv:2303.13090, 2023 - arxiv.org
Recent trends in semi-supervised learning have significantly boosted the performance of 3D
semi-supervised medical image segmentation. Compared with 2D images, 3D medical …

Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation

H Cai, S Li, L Qi, Q Yu, Y Shi… - 2023 IEEE/CVF …, 2023 - ieeexplore.ieee.org
Recent trends in semi-supervised learning have significantly boosted the performance of 3D
semi-supervised medical image segmentation. Compared with 2D images, 3D medical …

Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation

H Cai, S Li, L Qi, Q Yu, Y Shi, Y Gao - cvpr2023.thecvf.com
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation Page 1 Heng
Cai1 , Shumeng Li1 , Lei Qi2 , Qian Yu3 , Yinghuan Shi1,*, Yang Gao1 1Nanjing University …

Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation

H Cai, S Li, L Qi, Q Yu, Y Shi, Y Gao - 2023 IEEE/CVF Conference on …, 2023 - computer.org
Recent trends in semi-supervised learning have significantly boosted the performance of 3D
semi-supervised medical image segmentation. Compared with 2D images, 3D medical …