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Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism
Joint Authors
Shi, Dapeng
Jiang, Lingyun
Chen, Jian
Qin, RuoXi
Qiao, Kai
Hai, Jinjin
Xu, Junling
Wang, Zhenzhen
Yan, Bin
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Lung cancer ranks among the most common types of cancer.
Noninvasive computer-aided diagnosis can enable large-scale rapid screening of potential patients with lung cancer.
Deep learning methods have already been applied for the automatic diagnosis of lung cancer in the past.
Due to restrictions caused by single modality images of dataset as well as the lack of approaches that allow for a reliable extraction of fine-grained features from different imaging modalities, research regarding the automated diagnosis of lung cancer based on noninvasive clinical images requires further study.
In this paper, we present a deep learning architecture that combines the fine-grained feature from PET and CT images that allow for the noninvasive diagnosis of lung cancer.
The multidimensional (regarding the channel as well as spatial dimensions) attention mechanism is used to effectively reduce feature noise when extracting fine-grained features from each imaging modality.
We conduct a comparative analysis of the two aspects of feature fusion and attention mechanism through quantitative evaluation metrics and the visualization of deep learning process.
In our experiments, we obtained an area under the ROC curve of 0.92 (balanced accuracy = 0.72) and a more focused network attention which shows the effective extraction of the fine-grained feature from each imaging modality.
American Psychological Association (APA)
Qin, RuoXi& Wang, Zhenzhen& Jiang, Lingyun& Qiao, Kai& Hai, Jinjin& Chen, Jian…[et al.]. 2020. Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism. Complexity،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1142749
Modern Language Association (MLA)
Qin, RuoXi…[et al.]. Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism. Complexity No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1142749
American Medical Association (AMA)
Qin, RuoXi& Wang, Zhenzhen& Jiang, Lingyun& Qiao, Kai& Hai, Jinjin& Chen, Jian…[et al.]. Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism. Complexity. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1142749
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142749