Deep learning in chest radiography: Detection of findings and presence of change

Abstract

DL algorithm can aid in interpretation of CXR findings and their stability over follow up CXR. However, in its present version, it is unlikely to replace radiologists due to its limited specificity for categorizing specific findings.

Keywords

RadiographyMedicineRadiologyChest radiographRadiological weaponReceiver operating characteristicNuclear medicineInternal medicine

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Publication Info

Year: 2018
Type: article
Volume: 13
Issue: 10
Pages: e0204155-e0204155
Citations: 189
Access: Closed

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APA Style

                            
                                
                                    Ramandeep Singh, 
                                
                                    Mannudeep K. Kalra, 
                                
                                    Chayanin Nitiwarangkul
                                
                                et al.
                            
                            (2018). 
                            Deep learning in chest radiography: Detection of findings and presence of change. 
                            PLoS ONE
                            , 13
                            (10)
                            , e0204155-e0204155.
                            https://doi.org/10.1371/journal.pone.0204155
                        

Identifiers

DOI: 10.1371/journal.pone.0204155