Deep fusion of gray level co-occurrence matrices for lung nodule classification

Ahmed Saihood; Hossein Karshenas; Ahmad Reza Naghsh Nilchi

doi:10.1371/journal.pone.0274516

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Open Access

Peer-reviewed

Research Article

Deep fusion of gray level co-occurrence matrices for lung nodule classification

Ahmed Saihood,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliations Artificial Intelligence Department, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran, Faculty of Computer Science and Mathematics, University of Thi-Qar, Nasiriyah, Thi-Qar, Iraq

https://orcid.org/0000-0002-0147-7121

⨯
Hossein Karshenas ,

Roles Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Writing – review & editing

* E-mail: h.karshenas@eng.ui.ac.ir

Affiliation Artificial Intelligence Department, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran
⨯
Ahmad Reza Naghsh Nilchi

Roles Validation, Writing – review & editing

Affiliation Artificial Intelligence Department, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran
⨯

Deep fusion of gray level co-occurrence matrices for lung nodule classification

Ahmed Saihood,
Hossein Karshenas,
Ahmad Reza Naghsh Nilchi

Published: September 29, 2022
https://doi.org/10.1371/journal.pone.0274516

About the Authors

Ahmed Saihood

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliations Artificial Intelligence Department, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran, Faculty of Computer Science and Mathematics, University of Thi-Qar, Nasiriyah, Thi-Qar, Iraq

https://orcid.org/0000-0002-0147-7121

Hossein Karshenas

Roles Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Writing – review & editing

* E-mail: h.karshenas@eng.ui.ac.ir

Affiliation Artificial Intelligence Department, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran

Ahmad Reza Naghsh Nilchi

Roles Validation, Writing – review & editing

Affiliation Artificial Intelligence Department, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran

Competing Interests

The authors have declared that no competing interests exist.

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Computed axial tomography
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Lung and intrathoracic tumors
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Pulmonary imaging
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Imaging techniques
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Preprocessing
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Machine learning
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Machine learning algorithms
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Neural networks
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