Pediatric Radiology: An Analysis of AI-Powered Bone Age Determination Methods
Significant progress has been made in using artificial intelligence, especially deep learning, to help doctors evaluate the bone age of children in medical images. Traditional methods like the Leather Tanner-Whitehouse and Greulich-Pyle approaches have some issues with consistency and accuracy. But...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Northern Technical University
2025-03-01
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| Series: | NTU Journal of Engineering and Technology |
| Online Access: | https://journals.ntu.edu.iq/index.php/NTU-JET/article/view/1030 |
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