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Comparative evaluation of conventional and deep learning methods for semi-automated segmentation of pulmonary nodules on CT
BACKGROUND: Accurate segmentation of pulmonary nodules on computed tomography (CT) scans plays a crucial role in the evaluation and management of patients with suspicion of lung cancer (LC). When performed manually, not only the process requires highly skilled operators, but is also tiresome and tim...
Enregistré dans:
| Publié dans: | Quant Imaging Med Surg |
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| Auteurs principaux: | , , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
AME Publishing Company
2021
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8250017/ https://ncbi.nlm.nih.gov/pubmed/34249654 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/qims-20-1356 |
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