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Early identification of the malignant propensity of pulmonary ground‐glass nodules (GGNs) can relieve the pressure from tracking lesions and personalized treatment adaptation. The purpose of this study was to develop… Click to show full abstract
Early identification of the malignant propensity of pulmonary ground‐glass nodules (GGNs) can relieve the pressure from tracking lesions and personalized treatment adaptation. The purpose of this study was to develop a deep learning‐based method using sequential computed tomography (CT) imaging for diagnosing pulmonary GGNs.
Keywords:
glass nodules;
pulmonary ground;
ground glass;
deep learning;
based method;
learning based
Journal Title: Thoracic Cancer
Year Published: 2022
Link to full text (if available)
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Journal Title: Thoracic Cancer
Year Published: 2022
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!