inreodunction of the 2017 Pediatric Bone Age Challenge dataset

The 2017 Pediatric Bone Age Challenge dataset is a collection of hand and wrist radiographs of children aged between 0-19 years old. It was created to provide a standardized dataset for developing and evaluating algorithms for automated bone age assessment. The dataset consists of 12,611 images, each with corresponding chronological age ranging from 0 to 19 years old, and includes both male and female subjects. The images were collected from multiple institutions across the United States and were annotated by expert radiologists using the Greulich and Pyle method. This dataset is a valuable resource for researchers and developers working on automated bone age assessment algorithms and has the potential to improve the accuracy and efficiency of clinical bone age assessments