3D Convolutional Neural Network Applied to CT Angiography in the Detection of an Acute Ischemic Stroke

Research output: Contribution to journalArticleScientificpeer-review

Original languageEnglish
Article number8
JournalEuropean radiology experimental
Volume3
Number of pages11
ISSN2509-9280
DOIs
Publication statusPublished - 2019
MoE publication typeA1 Journal article-refereed

Fields of Science

  • 3126 Surgery, anesthesiology, intensive care, radiology
  • 114 Physical sciences
  • 3124 Neurology and psychiatry

Cite this

@article{efa1c2a4761f440294490e42ea9e32d5,
title = "3D Convolutional Neural Network Applied to CT Angiography in the Detection of an Acute Ischemic Stroke",
keywords = "3126 Surgery, anesthesiology, intensive care, radiology, 114 Physical sciences, 3124 Neurology and psychiatry",
author = "Olli {\"O}man and Teemu M{\"a}kel{\"a} and Eero Salli and Sauli Savolainen and Marko Kangasniemi",
year = "2019",
doi = "10.1186/s41747-019-0085-6",
language = "English",
volume = "3",
journal = "European radiology experimental",
issn = "2509-9280",
publisher = "SpringerOpen",

}

TY - JOUR

T1 - 3D Convolutional Neural Network Applied to CT Angiography in the Detection of an Acute Ischemic Stroke

AU - Öman, Olli

AU - Mäkelä, Teemu

AU - Salli, Eero

AU - Savolainen, Sauli

AU - Kangasniemi, Marko

PY - 2019

Y1 - 2019

KW - 3126 Surgery, anesthesiology, intensive care, radiology

KW - 114 Physical sciences

KW - 3124 Neurology and psychiatry

U2 - 10.1186/s41747-019-0085-6

DO - 10.1186/s41747-019-0085-6

M3 - Article

VL - 3

JO - European radiology experimental

JF - European radiology experimental

SN - 2509-9280

M1 - 8

ER -