A high-performance bone age assessment neural network for x-ray images

Yangyang Qian; Xiaofeng Han

doi:10.1117/12.3004986

9 October 2023 A high-performance bone age assessment neural network for x-ray images

Yangyang Qian, Xiaofeng Han

Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 1279106 (2023) https://doi.org/10.1117/12.3004986
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China

Abstract

Although deep learning based X-ray bone age detection algorithms have achieved good results, the complexity of these SOTA methods is also increasing. In this article, we propose a new lightweight network that exceeds the accuracy of the SOTA algorithm, but significantly reduces computational complexity. Our method has an average error of 0.18 years and a parameter quantity of only 0.9M, which outperforms the existing best methods in terms of computational performance and accuracy.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yangyang Qian and Xiaofeng Han "A high-performance bone age assessment neural network for x-ray images", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 1279106 (9 October 2023); https://doi.org/10.1117/12.3004986

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