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Report Of Clinical Bone Age Assessment Using Deep Learning For An Asian Population In Taiwan, Chi Fung Cheng, Eddie Tzung-Chi Huang, Jung-Tsung Kuo, Ken Ying-Kai Liao, Fuu‑Jen Tsai
Report Of Clinical Bone Age Assessment Using Deep Learning For An Asian Population In Taiwan, Chi Fung Cheng, Eddie Tzung-Chi Huang, Jung-Tsung Kuo, Ken Ying-Kai Liao, Fuu‑Jen Tsai
BioMedicine
Introduction
A deep learning-based automatic bone age identification system (ABAIs) was introduced in medical imaging. This ABAIs enhanced accurate, consistent, and timely clinical diagnostics and enlightened research fields of deep learning and artificial intelligence (AI) in medical imaging.
Aim
The goal of this study was to use the Deep Neural Network (DNN) model to assess bone age in months based on a database of pediatric left-hand radiographs.
Methods
The Inception Resnet V2 model with a Global Average Pooling layer to connect to a single fully connected layer with one neuron using the Rectified Linear Unit (ReLU) activation function consisted of …