A mutual promotion encoder-decoder method for ultrasonic hydronephrosis diagnosis

Methods(2022)

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摘要
•This model utilizes and combines as much information as it can.•The loss function we proposed can take good care of the area edges.•This model can find more hidden feature information or abstract information that is difficult to be found by naked eyes.•The hidden information significantly assists in identifying healthy and mildly diseased samples.
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关键词
UPJO,CAD,CT,MRI,SFU,ROI,SOTA,DCNN,SVM,FCNN,UNET,IAC,CE loss,MIoU,MPA,TPR,TNR,ADAM
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