Oct 8, 2023 · We propose a novel Cross-head mutual mean-teaching Network (CMMT-Net) incorporated strong-weak data augmentation, thereby benefitting both self-training and ...
Aug 10, 2024 · We propose a novel Cross-head mutual mean-teaching network (CMMT-Net) incorporated weak-strong data augmentations, thereby benefiting both co-training and ...
Aug 10, 2024 · We propose a novel Cross-head mutual mean-teaching network (CMMT-Net) incorporated weak-strong data augmentations, thereby benefiting both co-training and ...
We propose a novel cross-head mutual mean-teaching network (CMMT-Net) incorporated weak-strong data augmentations, thereby benefiting both co-training and ...
This work proposes a novel Cross-head mutual mean-teaching Network (CMMT-Net) incorporated strong-weak data augmentation, thereby benefitting both ...
Diversity matters: Cross-head mutual mean-teaching for semi-supervised medical image segmentation. Published:2024-10 Issue: Volume:97 Page:103302. ISSN:1361 ...
CMMT-Net. Cross-head mutual mean-teaching for semi-supervised medical image segmentation. About. No description, website, or topics provided. Resources. Readme.
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Jul 20, 2024 · We aim to design a simple yet effective semi-supervised medical image segmentation paradigm that greatly reduces label requirement while achieving superior ...
To address these concerns, we propose a novel Cross-head mutual mean-teaching Network (CMMT-Net) incorporated strong-weak data augmentation, thereby benefitting ...