A convolutional neural network to detect scoliosis treatment in radiographs

ConclusionThe proposed classification model, the originality of which is the coupling of a CNN with discriminant analysis, can be used to automatically label radiographs for the presence of scoliosis treatment. This information is usually missing from DICOM metadata, so such method could facilitate the use of large databases. Furthermore, the same model architecture could potentially be applied for other radiograph classifications, such as sex and presence of scoliotic deformity.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research