A primary and secondary feature interactive learning network for bone age assessment

Min Hu, Yuhang Wang,Xiaohua Wang,Wei Fan,Jiaoyun Yang,Ning An

Biomedical Signal Processing and Control（2023）

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摘要

•A FSLM is proposed to centers on the primary and secondary features extracted from images, and obtains the feature regions with the greatest correlation.•A FMLM is proposed to extracts the complementary information of primary and secondary features and fuses the information of both.•The proposed neural network PSILNet achieves better results on the RSNA hand bone dataset.

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关键词

Medical imaging, Bone age assessment, Deep learning, Primary feature, Secondary feature

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