Accurate malignant risk estimation of pulmonary nodules using deep learning
NLST data will be used to train the AI model by extracting information from baseline and follow-up scans.
To develop and validate a deep learning (DL) algorithms for malignancy risk estimation of pulmonary nodules detected at screening CT.
Kiran Vaidhya Venkadesh, Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands
Bram van Ginneken, Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands
Mathias Prokop, Department of Medical Imaging, Radboud University Medical Center Nijmegen, Netherlands
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Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules.
Venkadesh KV, Aleef TA, Scholten ET, Saghir Z, Silva M, Sverzellati N, Pastorino U, van Ginneken B, Prokop M, Jacobs C
Radiology. 2023 Aug; Volume 308 (Issue 2): Pages e223308 PUBMED