Systems and methods for detecting and correcting orientation of a medical image

An x-ray image orientation detection and correction system including a detection and correction computing device is provided. The processor of the computing device is programmed to execute a neural network model that is trained with training x-ray images as inputs and observed x-ray images as output...

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Bibliographische Detailangaben
Hauptverfasser: Sabol, John Michael, Rao, Gireesha Chinthamani, Avinash, Gopal B, Fischer, Teri Lynn, Younis, Khaled Salem, Gonzalez, German Guillermo Vera, Soni, Ravi, Nye, Katelyn Rose
Format: Patent
Sprache:eng
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Zusammenfassung:An x-ray image orientation detection and correction system including a detection and correction computing device is provided. The processor of the computing device is programmed to execute a neural network model that is trained with training x-ray images as inputs and observed x-ray images as outputs. The observed x-ray images are the training x-ray images adjusted to have a reference orientation. The processor is further programmed to receive an unclassified x-ray image, analyze the unclassified x-ray image using the neural network model, and assign an orientation class to the unclassified x-ray image. If the assigned orientation class is not the reference orientation, the processor is programmed to adjust an orientation of the unclassified x-ray image using the neural network model, and output a corrected x-ray image. If the assigned orientation class is the reference orientation, the processor is programmed to output the unclassified x-ray image.