ArticleDiagnostics (Basel, Switzerland)2023
Estimating the Volume of Nodules and Masses on Serial Chest Radiography Using a Deep-Learning-Based Automatic Detection Algorithm: A Preliminary Study.
Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Research on lung nodule detection in X-ray plain films based on improved YOLOv12 model.Scientific reports · 2026Article
- Automated evaluation of pulmonary lesion changes on chest radiograph during follow-up using semantic segmentation.Diagnostic and interventional radiology (Ankara, Turkey) · 2026Article
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7 authors.
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Abstract
backgroundThe purpose of this study was to assess the volume of the pulmonary nodules and masses on serial chest X-rays (CXRs) from deep-learning-based automatic detection algorithm (DLAD)-based parameters.
methodsIn a retrospective single-institutional study, 72 patients, who obtained serial CXRs (
resultsOf the 147 CXRs and 208 nodules of 72 patients, the mean volume of nodules or masses was measured as 9.37 ± 11.69 cm , RMSE: 7975.6 mm
conclusionsThe prediction model with the area and the mean probability based on the DLAD showed a rather accurate quantitative estimation of pulmonary nodule or mass volume and the change in serial CXRs.
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