Deep learning for automated skeletal bone age assessment in X-ray images

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• 作者：C. Spampinato ; ^a ; ^{cspampin@dieei.unict.it} ; S. Palazzo^a ; ^{simone.palazzo@dieei.unict.it} ; D. Giordano^a ; ^{dgiordan@dieei.unict.it} ; M. Aldinucci^b ; ^{aldinuc@di.unito.it} ; R. Leonardi^c ; ^{rleonardi@unict.it}
• 关键词：Convolutional neural networks ; Deep learning for medical images ; Tanner&ndash ; Whitehouse ; Greulich and Pyle
• 刊名：Medical Image Analysis
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：36
• 期：Complete
• 页码：41-51
• 全文大小：1535 K
• 卷排序：36

文摘

Testing several Convolutional Neural Networks on for skeletal bone age assessment with X-Ray images. BoNet: a CNN for automated skeletal age assessment able to cope with hand nonrigid deformation. First automated skeletal bone age assessment work tested on a public dataset with source code publicly available. Providing answers to more general questions about deep learning on medical images.