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

Kubach J., Muhlebner-Fahrngruber A., Soylemezoglu F., Miyata H., Niehusmann P., Honavar M., ...More

EPILEPSIA, vol.61, no.3, pp.421-432, 2020 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 61 Issue: 3
  • Publication Date: 2020
  • Doi Number: 10.1111/epi.16447
  • Journal Name: EPILEPSIA
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, CAB Abstracts, EMBASE, International Pharmaceutical Abstracts, MEDLINE, Veterinary Science Database
  • Page Numbers: pp.421-432
  • Hacettepe University Affiliated: Yes

Abstract

Objective The microscopic review of hematoxylin-eosin-stained images of focal cortical dysplasia type IIb and cortical tuber of tuberous sclerosis complex remains challenging. Both entities are distinct subtypes of human malformations of cortical development that share histopathological features consisting of neuronal dyslamination with dysmorphic neurons and balloon cells. We trained a convolutional neural network (CNN) to classify both entities and visualize the results. Additionally, we propose a new Web-based deep learning application as proof of concept of how deep learning could enter the pathologic routine.