DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation-Reference-Cited by-同舟云学术

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DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation

Published:2021-02-15 Issue: Volume: Page:
ISSN:
Container-title:Medical Imaging 2021: Image Processing
language:
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Author:

Lou Ange,Guan Shuyue,Loew Murray H.

Publisher

SPIE

Cited by 98 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unified semantic model for medical image segmentation;Biomedical Signal Processing and Control;2024-12

2. Multi-Bottleneck progressive propulsion network for medical image semantic segmentation with integrated macro-micro dual-stage feature enhancement and refinement;Expert Systems with Applications;2024-10

3. NFMPAtt-Unet: Neighborhood Fuzzy C-means Multi-scale Pyramid Hybrid Attention Unet for medical image segmentation;Neural Networks;2024-10

4. SIB-UNet: A dual encoder medical image segmentation model with selective fusion and information bottleneck fusion;Expert Systems with Applications;2024-10

5. RVS-FDSC: A retinal vessel segmentation method with four-directional strip convolution to enhance feature extraction;Biomedical Signal Processing and Control;2024-09

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