Open AccessReport of Clinical Bone Age Assessment using Deep Learning for an Asian population in Taiwan
Author(s) -
Chi Fung Cheng,
Eddie Tzung-Chi Huang,
Jung-Tsung Kuo,
Ken Ying-Kai Liao,
FuuJen Tsai
Publication year - 2021
Publication title -
biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.498
H-Index - 26
eISSN - 2211-8039
pISSN - 2211-8020
DOI - 10.37796/2211-8039.1256
Subject(s) - deep learning , artificial intelligence , convolutional neural network , bone age , pooling , artificial neural network , radiography , population , computer science , ground truth , medicine , machine learning , radiology , environmental health
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.