GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification

Keywords

Convolutional neural networkComputer scienceArtificial intelligenceDeep learningMedical imagingGenerative adversarial networkPattern recognition (psychology)Synthetic dataVisualizationExploitContextual image classificationImage (mathematics)Machine learning

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Publication Info

Year: 2018
Type: article
Volume: 321
Pages: 321-331
Citations: 1760
Access: Closed

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APA Style

                            
                                    Maayan Frid-Adar, 
                                
                                    Idit Diamant, 
                                
                                    Eyal Klang
                                
                                et al.
                            
                            (2018). 
                            GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification. 
                            Neurocomputing
                            , 321
                            
                            , 321-331.
                            https://doi.org/10.1016/j.neucom.2018.09.013

Identifiers

DOI: 10.1016/j.neucom.2018.09.013
arXiv: 1803.01229

Data Quality

Data completeness: 70%