Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation

no code implementations • 5 Dec 2021 • Yichi Zhang, Rushi Jiao, Qingcheng Liao, Dongyang Li, Jicong Zhang

In this paper, we propose a novel uncertainty-guided mutual consistency learning framework to effectively exploit unlabeled data by integrating intra-task consistency learning from up-to-date predictions for self-ensembling and cross-task consistency learning from task-level regularization to exploit geometric shape information.

Brain Tumor Segmentation Image Segmentation +4

Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation

no code implementations • 31 Dec 2020 • Yichi Zhang, Qingcheng Liao, Lin Yuan, He Zhu, Jiezhen Xing, Jicong Zhang

In this paper, we propose a novel relation-driven collaborative learning model to exploit shared knowledge from non-COVID lesions for annotation-efficient COVID-19 CT lung infection segmentation.

Computed Tomography (CT) Lesion Segmentation +1

Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions

no code implementations • 13 Oct 2020 • Yichi Zhang, Qingcheng Liao, Le Ding, Jicong Zhang

Despite these works lead to improvements on a variety of segmentation tasks, to the best of our knowledge, there has not previously been a large-scale empirical comparison of these methods.

Image Segmentation Segmentation +2