Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation

Author:

Gu Yunqi,Zhou Tao,Zhang Yizhe,Zhou Yi,He Kelei,Gong ChenORCID,Fu HuazhuORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference51 articles.

1. Unet++: Redesigning skip connections to exploit multiscale features in image segmentation;Zhou;IEEE Trans. Med. Imaging,2019

2. Uncertainty-aware hierarchical aggregation network for medical image segmentation;Zhou;IEEE Trans. Circuits Syst. Video Technol. 2024,2024

3. Boundary constraint network with cross layer feature integration for polyp segmentation;Yue;IEEE J. Biomed. Health Inf.,2022

4. Shape-guided dual consistency semi-supervised learning framework for 3-D medical image segmentation;Lei;IEEE Trans. Radiat. Plasma Med. Sci.,2023

5. Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning;Wang;Med. Image Anal.,2022

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