Classification of hand‐wrist maturity level based on similarity matching
Abstract Judging the maturity level of each hand‐wrist reference bone is the core issue in bone age assessment. Relying on the superiority of convolutional neural networks in feature representation, deep learning is widely studied for the automatic bone age assessment. However, an efficient but comp...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-10-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12273 |