Contributions
-
Vol. 23, Issue 5 Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment from Hand Radiograph
Skeletal bone age assessment is a common clinical practice to investigate endocrinology, genetic and growth disorders of children. However, clinical interpretation and bone age analyses are time-consuming, labor intensive and often subject to inter-observer variability.