Aim: To enhance accuracy in predicting bone age from x-ray image to that of chronological ages using novel Convolutional Neural Network technique in comparison with C4.5 Classifier. Materials and methods: Classification is performed by a Convolutional Neural Network (N=10) over a C4.5 classifier (N=10). The sample size is calculated using Gpower with pretest power as 0.8 and alpha 0.05. Results: Mean accuracy of the convolutional neural network (82.36%) is high compared to the C4.5 classifier (67.18%). The significance value for accuracy and loss is 0.263 (p>0.005). Conclusion: The mean accuracy of bone age prediction using Convolutional Neural Network is better than the C4.5 classifier.