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@MISC{Kiwitz:888510,
author = {Kiwitz, Kai and Schiffer, Christian and Dickscheid, Timo
and Amunts, Katrin},
title = {{R}eference delineations of {A}rea h{O}c3v ({L}ing{G}) in
individual sections of the {B}ig{B}rain},
publisher = {EBRAINS},
reportid = {FZJ-2020-04974},
year = {2020},
abstract = {This dataset contains cytoarchitectonic maps of area hOc3v
(LingG) in the BigBrain. The mappings were created using
multivariate statistical image analysis, applied to
GLI-images of coronal histological sections of 1 micron
resolution. Mappings are available on 38 sections of the
occipital lobe of the BigBrain and have been transformed to
the 3D reconstructed BigBrain space. For this brain area, a
highly detailed 3D map has been computed based on automatic
delineations on every histological section from a novel Deep
Learning algorithm. This dataset can be accessed here:
[Ultrahigh resolution 3D cytoarchitectonic map of Area hOc3v
(LingG) created by a Deep-Learning assisted
workflow](https://kg.ebrains.eu/search/live/minds/core/dataset/v1.0.0/f746514d-b79a-48e2-9c07-39f7c62459cf)
This ultrahigh resolution 3D cytoarchitectonic map of Area
hOc3v can be explored in the HBP interactive Atlas Viewer.},
cin = {INM-1},
cid = {I:(DE-Juel1)INM-1-20090406},
pnm = {574 - Theory, modelling and simulation (POF3-574) / HBP
SGA2 - Human Brain Project Specific Grant Agreement 2
(785907) / HBP SGA3 - Human Brain Project Specific Grant
Agreement 3 (945539)},
pid = {G:(DE-HGF)POF3-574 / G:(EU-Grant)785907 /
G:(EU-Grant)945539},
typ = {PUB:(DE-HGF)32},
doi = {10.25493/DBZG-QZ},
url = {https://juser.fz-juelich.de/record/888510},
}