• Corpus ID: 239016440

BAPGAN: GAN-based Bone Age Progression of Femur and Phalange X-ray Images

@article{Nakazawa2021BAPGANGB,
  title={BAPGAN: GAN-based Bone Age Progression of Femur and Phalange X-ray Images},
  author={Shinji Nakazawa and Changhee Han and Joe Hasei and Ryuichi Nakahara and Toshifumi Ozaki},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.08509}
}
Convolutional Neural Networks play a key role in bone age assessment for investigating endocrinology, genetic, and growth disorders under various modalities and body regions. However, no researcher has tackled bone age progression/regression despite its valuable potential applications: bonerelated disease diagnosis, clinical knowledge acquisition, and museum education. Therefore, we propose Bone Age Progression Generative Adversarial Network (BAPGAN) to progress/regress both femur/phalange X… 

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