Is the diagnostic model based on convolutional neural network superior to pediatric radiologists in the ultrasonic diagnosis of biliary atresia?
Xingxing Duan,
Liu Yang,
Weihong Zhu
et al.
Abstract:BackgroundMany screening and diagnostic methods are currently available for biliary atresia (BA), but the early and accurate diagnosis of BA remains a challenge with existing methods. This study aimed to use deep learning algorithms to intelligently analyze the ultrasound image data, build a BA ultrasound intelligent diagnostic model based on the convolutional neural network, and realize an intelligent diagnosis of BA.MethodsA total of 4,887 gallbladder ultrasound images of infants with BA, non-BA hyperbilirub… Show more
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