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Application of convolutional network models in detection of intracranial aneurysms: A systematic review and meta-analysis.

Saeed AbdollahifardAmirmohammad FarrokhiFatemeh KheshtiMahtab JalaliAshkan Mowla
Published in: Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences (2022)
CNN models had an acceptable sensitivity for detection of intracranial aneurysms, surpassing human readers in some fields. The logical approach for application of deep learning models would be its use as a highly capable assistant. In essence, deep learning models are a groundbreaking technology that can assist clinicians and allow them to diagnose intracranial aneurysms more accurately.
Keyphrases
  • deep learning
  • convolutional neural network
  • endothelial cells
  • loop mediated isothermal amplification
  • artificial intelligence
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  • neural network
  • pluripotent stem cells
  • sensitive detection