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Open Access

Peer-reviewed

Research Article

Adaptive geometric-attention network for two-stage lung nodule segmentation and malignancy classification in federated healthcare IoT edge environments

Muhammad Sufyan,

Roles Conceptualization, Data curation, Methodology, Software, Writing – original draft, Writing – review & editing

Affiliation College of Computer Science, Beijing University of Technology, Beijing, China
⨯
Jun Qian,

Roles Data curation, Formal analysis, Investigation, Validation, Writing – review & editing

Affiliation College of Computer Science, Beijing University of Technology, Beijing, China
⨯
Jianqiang Li,

Roles Investigation, Resources, Supervision

Affiliation College of Computer Science, Beijing University of Technology, Beijing, China
⨯
Azhar Imran,

Roles Formal analysis, Writing – review & editing

Affiliation College of Computer Science, Beijing University of Technology, Beijing, China
⨯
Fahad Sabah,

Roles Data curation, Formal analysis, Writing – review & editing

Affiliation College of Computer Science, Beijing University of Technology, Beijing, China
⨯
Raheem Sarwar

Roles Formal analysis, Writing – review & editing

* E-mail: R.Sarwar@mmu.ac.uk

Affiliation OTEHM, Manchester Metropolitan University, Manchester, United Kingdom

https://orcid.org/0000-0002-0640-807X

⨯

Adaptive geometric-attention network for two-stage lung nodule segmentation and malignancy classification in federated healthcare IoT edge environments

Muhammad Sufyan,
Jun Qian,
Jianqiang Li,
Azhar Imran,
Fahad Sabah,
Raheem Sarwar

x

Published: July 10, 2026
https://doi.org/10.1371/journal.pone.0341096

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Lung and intrathoracic tumors
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Pulmonary imaging
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Radii
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