Deeplasia: deep learning for bone age assessment validated on skeletal dysplasias

Code

• github.com/aimi-bonn/hand-segmentation
  OfficialIn paperpytorch★ 8
• github.com/aimi-bonn/Deeplasia
  In paperpytorch★ 16

Abstract

Skeletal dysplasias collectively affect a large number of patients worldwide. Most of these disorders cause growth anomalies. Hence, evaluating skeletal maturity via the determination of bone age (BA) is a useful tool. Moreover, consecutive BA measurements are crucial for monitoring the growth of patients with such disorders, especially for timing hormonal treatment or orthopedic interventions. However, manual BA assessment is time-consuming and suffers from high intra- and inter-rater variability. This is further exacerbated by genetic disorders causing severe skeletal malformations. While numerous approaches to automate BA assessment have been proposed, few are validated for BA assessment on children with skeletal dysplasias.

Tasks

Reproductions