WSEAS Transactions on Biology and Biomedicine
Print ISSN: 1109-9518, E-ISSN: 2224-2902
Volume 22, 2025
Automatic Pulmonary Nodule Detection and Management System
Authors: , , ,
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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Keywords: biomedical signal processing, object detection, deep learning, pulmonary nodule, automatic system, IoT platform
Pages: 190-199
DOI: 10.37394/23208.2025.22.20