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Same same but different: A Web-based deep learning application revealed classifying features for the histopathologic distinction of cortical malformations.

Joshua KubachAngelika Muhlebner-FahrngruberFigen SoylemezogluHajime MiyataPitt NiehusmannMrinalini HonavarFabio RogerioSe-Hoon KimEleonora AronicaRita GarbelliSamuel VilzAlexander PoppStefan WalcherChristoph NeunerMichael ScholzStefanie KuertenVerena SchroppSebastian RoederPhilip EichhornMarkus EcksteinAxel BrehmerKatja KobowRoland CorasIngmar BlumckeSamir Jabari
Published in: Epilepsia (2020)
Our newly developed Web application combines the visualization of whole slide images with the possibility of deep learning-aided classification between focal cortical dysplasia IIb and tuberous sclerosis complex. This approach will help to introduce deep learning applications and visualization for the histopathologic diagnosis of rare and difficult-to-classify brain lesions.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • machine learning
  • white matter
  • resting state
  • functional connectivity
  • electron microscopy
  • optical coherence tomography
  • subarachnoid hemorrhage