Work

Automatic Pulmonary Nodule Detection and Management System

Year: 2025

Type: article

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.

Source: WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE

DOI: 10.37394/23208.2025.22.20

Authors: Zhanlin Ji, Shengnan Hao, Jianhua Pang, Ivan Ganchev

Institutions: Zhejiang A & F University, North China University of Science and Technology, University of Limerick

Language: English

Topic: Lung Cancer Diagnosis and Treatment

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4407971742

FWCI: 0.608

Cites: 9

Cited by: 1

Related to: 10