Improvement of Multiparametric MR Image Segmentation by Augmenting the Data With Generative Adversarial Networks for Glioma Patients

Documenti analoghi

• BSCI-14. SYNTHETIC METASTATIC BRAIN DISEASE MRI IMAGES CREATED USING A GENERATIVE ADVERSARY NETWORK TO OVERCOME DEEP MACHINE LEARNING CHALLENGES IN HEALTHCARE
  di: Dai, Zhenzhen, et al.
  Pubblicazione: (2019)
• Hippocampal subfields segmentation in brain MR images using generative adversarial networks
  di: Shi, Yonggang, et al.
  Pubblicazione: (2019)
• Bitewing Radiography Image Segmentation Based on Conditional Generative Adversarial Network
  di: JIANG Yun,TAN Ning,ZHANG Hai,PENG Tingting
  Pubblicazione: (2019-04-01)
• Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks
  di: Sandfort, Veit, et al.
  Pubblicazione: (2019)
• Seismic Data Augmentation Based on Conditional Generative Adversarial Networks
  di: Li, Yuanming, et al.
  Pubblicazione: (2020)