Feb 11, 2022 · Specifically, the feature pyramid structure is employed to extract multi-level features. Further, a Level-aware Attention is proposed to refine ...
Among all technologies, magnetic resonance imaging (MRI) is considered the standard technique for the diagnosis of meningioma due to its good soft-tissue ...
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Mar 22, 2024 · In this study, we proposed a novel segmentation network (named GV-UNet) based on a CNN and a transformer for T1-enhanced images of meningiomas ...
Feature pyramid network with level-aware attention for meningioma segmentation ... network based on multi-level adversarial features for meningioma segmentation.
A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems · Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation.
Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1201-1210 (2022). [j69]. view.
Jun 17, 2024 · This model merges U-Net and Channel-wise Feature Pyramid Network for Medicine (CFPNet-M) models, using Tanimoto similarity. The model accurately ...
Feature pyramid network with level-aware attention for meningioma segmentation ... network based on multi-level adversarial features for meningioma segmentation.
Huang, W., et al.: Feature pyramid network with level-aware attention for meningioma segmentation. IEEE Trans. Emerg. Top. Comput. Intell. 6(5), 1201–1210 ...
AFPNet: A 3D fully convolutional neural network with atrous-convolution feature pyramid for brain tumor segmentation via MRI images. Neurocomputing. 2020 ...