Thorax disease classification with attention guided convolutional neural network

•A novel attention guided convolutional neural network (AG-CNN) is proposed for thorax disease identification.•AG-CNN integrates the global and local information to improve the recognition performance.•We introduce a CNN training baseline, which produces competitive results to the state-of-the-art m...

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Veröffentlicht in:	Pattern recognition letters 2020-03, Vol.131, p.38-45
Hauptverfasser:	Guan, Qingji, Huang, Yaping, Zhong, Zhun, Zheng, Zhedong, Zheng, Liang, Yang, Yi
Format:	Artikel
Sprache:	eng
Schlagworte:	Alignment Artificial neural networks Convolution CXR image classification Disease Feature ensemble Medical imaging Neural networks Thorax Training Visual attention
Online-Zugang:	Volltext
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