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Screening of adolescent idiopathic scoliosis using generative adversarial network (GAN) inversion method in chest radiographs.

Jun Soo LeeKeewon ShinSeung Min RyuSeong Gyu JegalWoojin LeeMin A YoonGil-Sun HongSanghyun PaikNamkug Kim
Published in: PloS one (2023)
We developed a classifier for Adolescent idiopathic scoliosis (AIS) through generative representation learning. Our model shows good AUROC under screening chest radiographs in both the internal and external datasets. Our model has learned the spectral severity of AIS, enabling it to generate normal images even when trained solely on scoliosis radiographs.
Keyphrases
  • optical coherence tomography
  • deep learning
  • magnetic resonance imaging
  • computed tomography
  • magnetic resonance
  • body composition