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.
| Original language | English |
|---|---|
| Pages (from-to) | 190-199 |
| Number of pages | 10 |
| Journal | WSEAS Transactions on Biology and Biomedicine |
| Volume | 22 |
| DOIs | |
| Publication status | Published - 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- automatic system
- biomedical signal processing
- deep learning
- IoT platform
- object detection
- pulmonary nodule
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