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

Complexity

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

Philosophy

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