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Fully automated segmentation and volumetric measurement of ocular adnexal lymphoma by deep learning-based self-configuring nnU-net on multi-sequence MRI: a multi-center study.

Guorong WangBingbing YangXiaoxia QuJian GuoYongheng LuoXiaoquan XuFeiyun WuXiaoxue FanYang HouSong TianSicong HuangJunfang Xian
Published in: Neuroradiology (2024)
The nnU-net offered excellent performance in automated segmentation and volumetric assessment in MRI of OAL, particularly on T2_FS images.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • contrast enhanced
  • magnetic resonance imaging
  • machine learning
  • diffusion weighted imaging
  • computed tomography
  • magnetic resonance