# Pediatric Bone Age Assessment using Deep Learning Models

arXiv: https://arxiv.org/abs/2207.10169 · HTML: https://mlsanity.com/paper/2207.10169/

## Key facts

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- First posted on arXiv 20 Jul 2022.

## Abstract (arXiv)

Bone age assessment (BAA) is a standard method for determining the age difference between skeletal and chronological age. Manual processes are complicated and necessitate the expertise of experts. This is where deep learning comes into play. In this study, pre-trained models like VGG-16, InceptionV3, XceptionNet, and MobileNet are used to assess the bone age of the input data, and their mean average errors are compared and evaluated to see which model predicts the best.