Virtual biopsy of pulmonary nodules
NLST data will be used to train the computer model by extracting information from baseline and follow-up scans.
The automatic assessment of malignancy probability solely based on nodule appearance and temporal evolution.
Bram van Ginneken, Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, Netherlands
Colin Jacobs, Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, Netherlands
Arnaud Arindra Adioso Setio, Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, Netherlands
Kaman Chung, Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, Netherlands
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Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT.
Venkadesh KV, Setio AAA, Schreuder A, Scholten ET, Chung K, W Wille MM, Saghir Z, van Ginneken B, Prokop M, Jacobs C
Radiology. 2021 May 18; Pages 204433 PUBMED