Evaluation of a novel deep learning–based classifier for perifissural nodules

OBJECTIVES: To evaluate the performance of a novel convolutional neural network (CNN) for the classification of typical perifissural nodules (PFN). METHODS: Chest CT data from two centers in the UK and The Netherlands (1668 unique nodules, 1260 individuals) were collected. Pulmonary nodules were cla...

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書誌詳細
出版年:Eur Radiol
主要な著者: Han, Daiwei, Heuvelmans, Marjolein, Rook, Mieneke, Dorrius, Monique, van Houten, Luutsen, Price, Noah Waterfield, Pickup, Lyndsey C., Novotny, Petr, Oudkerk, Matthijs, Declerck, Jerome, Gleeson, Fergus, van Ooijen, Peter, Vliegenthart, Rozemarijn
フォーマット: Artigo
言語:Inglês
出版事項: Springer Berlin Heidelberg 2020
主題:
Chest
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC8128854/
https://ncbi.nlm.nih.gov/pubmed/33269413
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-020-07509-x
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