HIGHLIGHTS
- What: In the overall framework of DCCLNet proposed in this paper, the training of the auxiliary decoder, the main network UNet, the teacher model, and Swin-UNet are conducted simultaneously. Although this study has made some progress, there are also shortcomings.
- Who: Xin Zhao and Wenqi Wang from the (UNIVERSITY) have published the research: Semi-Supervised Medical Image Segmentation Based on Deep Consistent Collaborative Learning, in the Journal: (JOURNAL)
- How: This paper presents a novel segmentation framework DCCLNet (deep consistency collaborative learning UNet) grounded in deep consistent co-learning. PROMISE12 dataset Similar experiments . . .
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