Automatic Recognition of Mucus Impaction in CT Images of Asthmatic Patients Using Deep Learning

doi:10.13190/j.jbupt.2022-030

Journal of Beijing University of Posts and Telecommunications ›› 2022, Vol. 45 ›› Issue (4): 58-63.doi: 10.13190/j.jbupt.2022-030

• Special Topics on Intelligent Medical • Previous Articles Next Articles

Automatic Recognition of Mucus Impaction in CT Images of Asthmatic Patients Using Deep Learning

HUANG Liuting¹, LIU Kexin², NIU Kai¹, CHANG Chun², HE Zhiqiang¹

1. Key Laboratory of Universal Wireless Communications (Ministry of Education), Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. Department of Respiratory and Critical Medicine, Peking University Third Hospital, Beijing 100191, China

Received:2022-02-03 Online:2022-08-28 Published:2022-06-26

Abstract

Abstract: In view of the low efficiency of manual identification of mucus impaction in chest computed tomography (CT) and the poor recognition effect, a deep neural network based automatic recognition algorithm for mucus impaction is proposed. In order to deal with the irregular characteristics of mucus impaction, deformable convolution is added to the backbone to extract features, and deformable region of interest pooling is used in the detection network to normalize the feature scale. Besides, feature pyramid network with weight coefficient is used for multi-scale fusion according to the characteristics of small and medium objects. The results show that compared with the traditional faster region convolutional neural network, mean average precision of the proposed algorithm is improved by 4%, which can provide auxiliary reference for the diagnosis of asthma severity.

Key words: mucus impaction, deep learning, automatic recognition algorithm

CLC Number:

TP183

HUANG Liuting, LIU Kexin, NIU Kai, CHANG Chun, HE Zhiqiang. Automatic Recognition of Mucus Impaction in CT Images of Asthmatic Patients Using Deep Learning[J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(4): 58-63.

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Automatic Recognition of Mucus Impaction in CT Images of Asthmatic Patients Using Deep Learning

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