The model is based on an off-the-shelf deep learning network and could be used to help prevent manual placement mistakes or missing side markers, which have profound effects on patient safety, the authors wrote.
“Because a wrong ASM can have severe consequences and deep-learning networks are in general black boxes, the prediction of the network could be presented to the radiographer for a second check, making mistakes even less probable,” wrote lead author Anton Quinsten, chief radiology technologist at University Hospital Essen.
Left and right anatomical sides are difficult to…
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