Development and Validation of an Automatic Segmentation Algorithm for Quantification of Intracerebral Hemorrhage | Zendy

Moritz Scherer | Zendy; Jonas Cordes | Zendy; Alexander Younsi | Zendy; Yasemin-Aylin Sahin | Zendy; Michael Götz | Zendy; Markus Möhlenbruch | Zendy; Christian Stock | Zendy; Julian Bösel | Zendy; Andreas Unterberg | Zendy; Klaus MaierHein | Zendy; Berk Orakcioglu | Zendy

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Development and Validation of an Automatic Segmentation Algorithm for Quantification of Intracerebral Hemorrhage

Author(s) -

Moritz Scherer,

Jonas Cordes,

Alexander Younsi,

Yasemin-Aylin Sahin,

Michael Götz,

Markus Möhlenbruch,

Christian Stock,

Julian Bösel,

Andreas Unterberg,

Klaus MaierHein,

Berk Orakcioglu

Publication year - 2016

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/strokeaha.116.013779

Subject(s) - medicine , intracerebral hemorrhage , algorithm , segmentation , artificial intelligence , surgery , subarachnoid hemorrhage , computer science

ABC/2 is still widely accepted for volume estimations in spontaneous intracerebral hemorrhage (ICH) despite known limitations, which potentially accounts for controversial outcome-study results. The aim of this study was to establish and validate an automatic segmentation algorithm, allowing for quick and accurate quantification of ICH.

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