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Using Mobile Phones For Computer Aided Detection Of Anomalies On Chest Radiographs: Proof Of Concept
[article]
2019
medRxiv
pre-print
Preserved Fulltext
Mastering the art of interpreting chest radiographs can be a long and daunting process. We trained a neural network to classify photographs of chest radiographs into 6 groups. The trained model is hosted on a webserver. The model receives and processes photographs of chest radiographs taken using mobile phones. The system then informs the user the most probable diagnosis. Such systems could prove useful in low resource settings which do not have enough highly trained medical personnel and
doi:10.1101/19012146
fatcat:462ganldurgkbas4boldh7m24a