Adaptive geometric-attention network for two-stage lung nodule segmentation and malignancy classification in federated healthcare IoT edge environments.
- DOI
- 10.1371/journal.pone.0341096
- Published
- 2026
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0341096,
title = {Adaptive geometric-attention network for two-stage lung nodule segmentation and malignancy classification in federated healthcare IoT edge environments.},
author = {Sufyan M and Qian J and Li J and Imran A and Sabah F and Sarwar R},
year = {2026},
journal = {PloS one},
doi = {10.1371/journal.pone.0341096},
url = {https://doi.org/10.1371/journal.pone.0341096}
}RIS
TY - JOUR TI - Adaptive geometric-attention network for two-stage lung nodule segmentation and malignancy classification in federated healthcare IoT edge environments. AU - Sufyan M AU - Qian J AU - Li J AU - Imran A AU - Sabah F AU - Sarwar R PY - 2026 JO - PloS one DO - 10.1371/journal.pone.0341096 UR - https://doi.org/10.1371/journal.pone.0341096 ER -
APA
M, S., J, Q., J, L., A, I., F, S., & R, S. (2026). Adaptive geometric-attention network for two-stage lung nodule segmentation and malignancy classification in federated healthcare IoT edge environments.. PloS one. https://doi.org/10.1371/journal.pone.0341096
Source records
- pubmed · retrieved 2026-09-25T13:00:55.650Z