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Develop a deep learning-based model utilizing a fully connected convolutional neural network (CNN) to predict bone age from left-hand radiographs.

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Deep learning-based automated bone age estimation on hand radiograph images

We propose a deep learning-based model utilizing a fully connected convolutional neural network (CNN) to predict bone age from left-hand radiographs.

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Fig. 4. Ground-truth and predicted bone age (in years) of some example patients on the test data set.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Paper

Please cite this paper: Hamd ZY, Alorainy AI, Alharbi MA, Hamdoun A, Alkhedeiri A, Alhegail S, Absar N, Khandaker MU, Osman AFI. Deep learning-based automated bone age estimation for Saudi patients on hand radiograph images: a retrospective study. BMC Med Imaging 24, 199 (2024). https://doi.org/10.1186/s12880-024-01378-2

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Develop a deep learning-based model utilizing a fully connected convolutional neural network (CNN) to predict bone age from left-hand radiographs.

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