Computer Vision
CMAD：高效混合CNN–Mamba注意力解码网络
CMAD: High-efficiency hybrid CNN–Mamba Attention Decoding networkA deep learning architecture designed for medical image segmentation that integrates Convolutional Neural Networks (CNN) with Mamba attention mechanisms to improve decoding efficiency. / 一种专为医学图像分割设计的深度学习架构，通过整合卷积神经网络（CNN）与Mamba注意力机制来提升解码效率。
- Knowledge type
- 工艺技术
- First proposed or discovered
- 2027
- Proposer
- Yehang Li, Hui Zhao
- Creator
- 农场主
- Last updated
- 2026-10-28 22:00:32
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Main parameters and performance indicators
CNN: Convolutional Neural Network backboneMamba: State-space model attention mechanismHybrid: Combined architecture for efficiency
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Related literature
ranked by community starsCMAD: High-efficiency hybrid CNN–Mamba Attention Decoding network for medical image segmentationOpen source
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1 recordsRecord title: CMAD: High-efficiency hybrid CNN–Mamba Attention Decoding network.
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