Apr 12, 2022 · It can strengthen the distinguishing ability of image features, and the fusion ability of the contextual information, which improves the ...
In this paper, fuzzy cognition is introduced into the feature fusion of CNNs. Based on the attention mechanism, fuzzy membership is used to re-calibrate the ...
Abstract: Aiming at the medical images segmentation with low-recognition and high background noise, a deep convolution neural network image segmentation ...
It can strengthen the distinguishing ability of image features, and the fusion ability of the contextual information, which improves the segmentation accuracy ...
A deep convolution neural network image segmentation model based on fuzzy attention mechanism is proposed, which is called FA-SegNet.
People also ask
What is the image segmentation method of MRI?
What is image segmentation in radiology?
What is semantic image segmentation?
What is segmentation in biomedical image analysis?
An FA-SegNet image segmentation model based on fuzzy attention and its application in cardiac MRI segmentation. Int. J. Comput. Intell. Syst., 15 (1) (2022) ...
An FA-SegNet Image Segmentation Model Based on Fuzzy Attention and Its Application in Cardiac MRI Segmentation ... This article is free to access. OCS-Net: ...
Nov 24, 2023 · An FA-SegNet image segmentation model based on fuzzy attention and its application in cardiac MRI segmentation. Int J Comput Intell Syst ...
Dec 1, 2022 · Highlights •Image segmentation models based on SegNet and improved SegNet deep learning networks to assist in cardiovascular disease ...
Image Anal., № 7, с. 102; Yang, An FA-SegNet image segmentation model based on fuzzy attention and its application in cardiac MRI segmentation, Int. J ...