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11/08/2021
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities
Using multimodal Magnetic Resonance Imaging (MRI) is necessary for accur...
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11/02/2021
A Tri-attention Fusion Guided Multi-modal Segmentation Network
In the field of multimodal segmentation, the correlation between differe...
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04/13/2021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities
Magnetic Resonance Imaging (MRI) is a widely used imaging technique to a...
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02/05/2021
3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint
In the field of multimodal segmentation, the correlation between differe...
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04/22/2020
A review: Deep learning for medical image segmentation using multi-modality fusion
Multi-modality is widely used in medical imaging, because it can provide...
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04/14/2020
An automatic COVID-19 CT segmentation based on U-Net with attention mechanism
The coronavirus disease (COVID-19) pandemic has led a devastating effect...
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04/14/2020
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism
The coronavirus disease (COVID-19) pandemic has led to a devastating eff...
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03/19/2020