Additive margin networks with adaptive feature recalibration and its applications in Brain Stroke CT Image classification

Additive margin networks with adaptive feature recalibration and its applications in Brain Stroke CT Image classification

Abstract In this paper, an additive margin network with adaptive feature recalibration, AMNets, for handling a wide range of visual tasks, is proposed. The new AMNets consists of three improvements on convolutional neural networks: (1) squeeze‐and‐excitation mechanism was embedded into the the resid...

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Bibliographic Details
Main Authors: Qinling Gao, Hao Fu, Xuejing Zhao, Zhaoming Ge
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:IET Image Processing
Subjects:
brain
image recognition
Convolutional neural networks
Additive margin softmax loss
Adaptive feature recalibration
Online Access:https://doi.org/10.1049/ipr2.12981

Internet

https://doi.org/10.1049/ipr2.12981

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