Performance of alternative manual and automated deep learning segmentation techniques for the prediction of benign and malignant lung nodules.
Journal of medical imaging (Bellingham, Wash.)(2023)
摘要
Radiomic biopsy-based models outperformed FM and BB models in prediction of benign and malignant lung nodules in two independent datasets while deep-learning segmentation-based models performed similarly to FM and BB. RB could be a more efficient segmentation method, but further validation is needed.
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关键词
segmentation, lung nodules, computed tomography imaging, radiomics, machine learning, deep learning
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