Mmgl: Multi-scale multi-view global-local contrastive learning for semi-supervised cardiac image segmentation

Z Zhao, J Hu, Z Zeng, X Yang, P Qian… - … conference on image …, 2022 - ieeexplore.ieee.org
With large-scale well-labeled datasets, deep learning has shown significant success in
medical image segmentation. However, it is challenging to acquire abundant annotations in …

MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation

Z Zhao, J Hu, Z Zeng, X Yang, P Qian… - arXiv preprint arXiv …, 2022 - arxiv.org
With large-scale well-labeled datasets, deep learning has shown significant success in
medical image segmentation. However, it is challenging to acquire abundant annotations in …

MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation

Z Zhao, J Hu, Z Zeng, X Yang, P Qian… - arXiv e …, 2022 - ui.adsabs.harvard.edu
With large-scale well-labeled datasets, deep learning has shown significant success in
medical image segmentation. However, it is challenging to acquire abundant annotations in …

[PDF][PDF] MMGL: MULTI-SCALE MULTI-VIEW GLOBAL-LOCAL CONTRASTIVE LEARNING FOR SEMI-SUPERVISED CARDIAC IMAGE SEGMENTATION

Z Zhao, J Hu, Z Zeng, X Yang, P Qian, B Veeravalli… - academia.edu
With large-scale well-labeled datasets, deep learning has shown significant success in
medical image segmentation. However, it is challenging to acquire abundant annotations in …

[PDF][PDF] MMGL: MULTI-SCALE MULTI-VIEW GLOBAL-LOCAL CONTRASTIVE LEARNING FOR SEMI-SUPERVISED CARDIAC IMAGE SEGMENTATION

Z Zhao, J Hu, Z Zeng, X Yang, P Qian, B Veeravalli… - 2022 - researchgate.net
With large-scale well-labeled datasets, deep learning has shown significant success in
medical image segmentation. However, it is challenging to acquire abundant annotations in …

[PDF][PDF] MMGL: MULTI-SCALE MULTI-VIEW GLOBAL-LOCAL CONTRASTIVE LEARNING FOR SEMI-SUPERVISED CARDIAC IMAGE SEGMENTATION

Z Zhao, J Hu, Z Zeng, X Yang, P Qian, B Veeravalli… - 2022 - researchgate.net
With large-scale well-labeled datasets, deep learning has shown significant success in
medical image segmentation. However, it is challenging to acquire abundant annotations in …