Automatic detection of multiple types of pneumonia: Open dataset and a multi-scale attention network

UM > Faculty of Science and Technology

Status	已發表Published
	Automatic detection of multiple types of pneumonia: Open dataset and a multi-scale attention network
	Wong, P. K.; Yan, T.; Wang, H.Q.; Chan, I.N.; Wang, J.T.; Li, Y.; Ren, H.; Wong, C.H.
	2021-12-01
Source Publication	Biomedical Signal Processing and Control (SCI-E) (Published online)
ISSN	1746-8094
Pages	1-11
Abstract	The quick and precise identifcation of COVID-19 pneumonia, non-COVID-19 viral pneumonia, bacterial pneumonia, mycoplasma pneumonia, and normal lung on chest CT images play a crucial role in timely quarantine and medical treatment. However, manual identifcation is subject to potential misinterpretations and timeconsumption issues owing the visual similarities of pneumonia lesions. In this study, we propose a novel multi-scale attention network (MSANet) based on a bag of advanced deep learning techniques for the automatic classifcation of COVID-19 and multiple types of pneumonia. The proposed method can automatically pay attention to discriminative information and multi-scale features of pneumonia lesions for better classifcation. The experimental results show that the proposed MSANet can achieve an overall precision of 97.31%, recall of 96.18%, F1-score of 96.71%, accuracy of 97.46%, and macro-average area under the receiver operating characteristic curve (AUC) of 0.9981 to distinguish between multiple classes of pneumonia. These promising results indicate that the proposed method can significantly assist physicians and radiologists in medical diagnosis. The dataset is publicly available at https://doi.org/10.17632/rf8x3wp6ss.1.
Keyword	COVID-19 Pneumonia identification Multi-scale convolution neural network Attention mechanism Chest computed tomography
Language	英語English
The Source to Article	PB_Publication
PUB ID	62697
Document Type	Journal article
Collection	Faculty of Science and Technology
Recommended Citation GB/T 7714	Wong, P. K.,Yan, T.,Wang, H.Q.,et al. Automatic detection of multiple types of pneumonia: Open dataset and a multi-scale attention network[J]. Biomedical Signal Processing and Control (SCI-E) (Published online), 2021, 1-11.
APA	Wong, P. K.., Yan, T.., Wang, H.Q.., Chan, I.N.., Wang, J.T.., Li, Y.., Ren, H.., & Wong, C.H. (2021). Automatic detection of multiple types of pneumonia: Open dataset and a multi-scale attention network. Biomedical Signal Processing and Control (SCI-E) (Published online), 1-11.
MLA	Wong, P. K.,et al."Automatic detection of multiple types of pneumonia: Open dataset and a multi-scale attention network".Biomedical Signal Processing and Control (SCI-E) (Published online) (2021):1-11.

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