27 Jun 2017

Novel method for pediatric bone age detection using Deep CNN

This project aims at creating an end-to-end model for the determination of the bone age. The main theory behind the project is that bone age can be predicted by estimating the amount of cartilage present between the bones. As a human being ages, the amount of cartilage present between the bones reduces. The bone structure also helps in predicting the bone age. For this project, the RSNA 2017 dataset is being used. The dataset may be found here.


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