Multicut brings automated neurite segmentation closer to human performance

Nature Methods

Volumn 14, Issue 2, 2017, Pages 101-102

  Beier, Thorsten ^a   Pape, Constantin ^a   Rahaman, Nasim ^a   Prange, Timo ^a   Berg, Stuart ^b   Bock, Davi D ^b   Cardona, Albert ^b   Knott, Graham W ^c   Plaza, Stephen M ^b   Scheffer, Louis K ^b   Koethe, Ullrich ^a   Kreshuk, Anna ^a,b   Hamprecht, Fred A ^a,b  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b HOWARD HUGHES MEDICAL INSTITUTE   (United States)

^c EPFL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; ASSOCIATION; HUMAN; LETTER; NEURITE; NEURITE SEGMENTATION; NEUROLOGICAL AND SENSORIAL PROCEDURES; NONHUMAN; PRIORITY JOURNAL; RANDOM FOREST; ANIMAL; BRAIN; DIAGNOSTIC IMAGING; DROSOPHILA; MOUSE; PHYSIOLOGY; SOFTWARE;

ALGORITHMS; ANIMALS; BRAIN; DROSOPHILA; HUMANS; MICE; NEURITES; SOFTWARE;

EID: 85011370891     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.4151     Document Type: Letter

References (5)

1. Kim, J.S. et al. Nature 509, 331-336 (2014).
2. Arganda-Carreras, I. et al. Front. Neuroanat. 9, 142 (2015).
3. Keuper, M. et al. In Intl. Conf. Comp. Vision, 1751-1759 (2015).
4. Andres, B. et al. Europ. Conf. Comp. Vision, Part III, (Eds. Fitzgibbon, A., Lazebnik, S. et al.) 778-791 (2012).
5. Beier, T. et al. IEEE Conf. Comp. Vision Patt. Recog., 3507-3516 (2015).