Better Diffusion Segmentation in Acute Ischemic Stroke Through Automatic Tree Learning Anomaly Segmentation

Better Diffusion Segmentation in Acute Ischemic Stroke Through Automatic Tree Learning Anomaly Segmentation

Stroke is the second most common cause of death worldwide, responsible for 6.24 million deaths in 2015 (about 11% of all deaths). Three out of four stroke survivors suffer long term disability, as many cannot return to their prior employment or live independently. Eighty-seven percent of strokes are...

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Bibliographic Details
Main Authors: Jens K. Boldsen, Thorbjørn S. Engedal, Salvador Pedraza, Tae-Hee Cho, Götz Thomalla, Norbert Nighoghossian, Jean-Claude Baron, Jens Fiehler, Leif Østergaard, Kim Mouridsen
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-04-01
Series:Frontiers in Neuroinformatics
Subjects:
stroke
diffusion MRI
segmentation
diffusion lesion
computer learning
decision trees
Online Access:http://journal.frontiersin.org/article/10.3389/fninf.2018.00021/full

Internet

http://journal.frontiersin.org/article/10.3389/fninf.2018.00021/full

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