Automatic Pulmonary Nodule Detection and Management System
Publication type: Journal Article
Publication date: 2025-02-26
scimago Q4
SJR: 0.136
CiteScore: 0.6
Impact factor: —
ISSN: 11099518, 22242902
Abstract
This paper presents a self-developed automatic pulmonary nodule detection and management system, built and operating on top of the IoT platform EMULSION as an effective tool for physicians and patients to conduct preliminary diagnoses of lung diseases and detect potential pulmonary-nodule-related health issues. The elaborated system architecture is described, including its overall structure, main functional modules, and their display pages. Providing a more convenient way for physicians to systematically handle and cure their patients, the designed and implemented system helps alleviate the workload of physicians while also giving patients more opportunities for follow-up treatment.
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WSEAS Transactions on Fluid Mechanics
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World Scientific and Engineering Academy and Society (WSEAS)
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Citations from 2024:
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GOST
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Ji Z. et al. Automatic Pulmonary Nodule Detection and Management System // WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE. 2025. Vol. 22. pp. 190-199.
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Ji Z., Hao S., Pang J., Ganchev I. Automatic Pulmonary Nodule Detection and Management System // WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE. 2025. Vol. 22. pp. 190-199.
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TY - JOUR
DO - 10.37394/23208.2025.22.20
UR - https://wseas.com/journals/bab/2025/a405108-017(2025).pdf
TI - Automatic Pulmonary Nodule Detection and Management System
T2 - WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE
AU - Ji, Zhanlin
AU - Hao, Shengnan
AU - Pang, Jianhua
AU - Ganchev, Ivan
PY - 2025
DA - 2025/02/26
PB - World Scientific and Engineering Academy and Society (WSEAS)
SP - 190-199
VL - 22
SN - 1109-9518
SN - 2224-2902
ER -
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@article{2025_Ji,
author = {Zhanlin Ji and Shengnan Hao and Jianhua Pang and Ivan Ganchev},
title = {Automatic Pulmonary Nodule Detection and Management System},
journal = {WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE},
year = {2025},
volume = {22},
publisher = {World Scientific and Engineering Academy and Society (WSEAS)},
month = {feb},
url = {https://wseas.com/journals/bab/2025/a405108-017(2025).pdf},
pages = {190--199},
doi = {10.37394/23208.2025.22.20}
}