We develop an automated bone age determination system for overall and part bone ages.
We develop fusion rules for multiple classifiers with more than three classes.
Bone age determination can be viewed as the weighted sum of five part bone ages.
The weights indicate that part 1 (the distal phalanges) has the highest priority.
We validate the system based on different classifiers’ performances.