Deep learning meets topology-preserving active contours: towards scalable quantitative histology of cortical cytoarchitecture.

K. Thierbach, P.L. Bazin, F. Gavriilidis, E. Kirilina, C. Jager, M. Morawski, S. Geyer, Nikolaus Weiskopf, N. Scherf

Research output: Contribution to journal/periodicalArticleScientificpeer-review

217 Downloads (Pure)
Original languageEnglish
JournalbioRxiv
Publication statusE-pub ahead of print - 2019

Cite this

Thierbach, K., Bazin, P. L., Gavriilidis, F., Kirilina, E., Jager, C., Morawski, M., Geyer, S., Weiskopf, N., & Scherf, N. (2019). Deep learning meets topology-preserving active contours: towards scalable quantitative histology of cortical cytoarchitecture. bioRxiv.