Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images

The objective of this study is to assess the performance of a computer-aided diagnosis (CAD) system (INTACT system) for the automatic classification of high-resolution computed tomography images into 4 radiological diagnostic categories and to compare this with the performance of radiologists on the...

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Bibliografische gegevens
Gepubliceerd in:Invest Radiol
Hoofdauteurs: Christe, Andreas, Peters, Alan A., Drakopoulos, Dionysios, Heverhagen, Johannes T., Geiser, Thomas, Stathopoulou, Thomai, Christodoulidis, Stergios, Anthimopoulos, Marios, Mougiakakou, Stavroula G., Ebner, Lukas
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Lippincott Williams & Wilkins 2019
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Original Articles
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6738634/
https://ncbi.nlm.nih.gov/pubmed/31483764
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/RLI.0000000000000574
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