MSANet: Multiscale Aggregation Network Integrating Spatial and Channel Information for Lung Nodule Detection

Improving the detection accuracy of pulmonary nodules plays an important role in the diagnosis and early treatment of lung cancer. In this paper, a multiscale aggregation network (MSANet), which integrates spatial and channel information, is proposed for 3D pulmonary nodule detection. MSANet is desi...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2022-06, Vol.26 (6), p.2547-2558
Hauptverfasser:	Guo, Zhitao, Zhao, Linlin, Yuan, Jinli, Yu, Hengyong
Format:	Artikel
Sprache:	eng
Schlagworte:	Agglomeration attention mecha- nism Convolutional neural networks Data integration Decoding Feature extraction Image processing Information processing Information retrieval Lung Lung cancer Lung nodules multiscale Nodules pulmonary nodule detection self-calibrated convolution Spatial data Three-dimensional displays Tumors
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