Computed tomography angiography-based deep learning method for treatment selection and infarct volume prediction in anterior cerebral circulation large vessel occlusion

Lasse Hokkinen; Teemu Mäkelä; Sauli Savolainen; Marko Kangasniemi

doi:10.1177/20584601211060347

Computed tomography angiography-based deep learning method for treatment selection and infarct volume prediction in anterior cerebral circulation large vessel occlusion

Lasse Hokkinen, Teemu Mäkelä, Sauli Savolainen, Marko Kangasniemi

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Article number	20584601211060347
Journal	Acta Radiologica Open
Volume	10
Issue number	11
Number of pages	10
ISSN	2058-4601
DOIs	https://doi.org/10.1177/20584601211060347
Publication status	Published - Nov 2021
MoE publication type	A1 Journal article-refereed

Fields of Science

CT angiography
stroke
deep learning
machine learning
convolutional neural network
ACUTE ISCHEMIC-STROKE
CT PERFUSION
THRESHOLDS VARY
SOURCE IMAGES
CORE
RELIABILITY
SOFTWARE
PLATFORM
3126 Surgery, anesthesiology, intensive care, radiology
3121 General medicine, internal medicine and other clinical medicine

Access to Document

10.1177/20584601211060347Licence: CC BY

20584601211060347Final published version, 1.07 MBLicence: CC BY

Cite this

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title = "Computed tomography angiography-based deep learning method for treatment selection and infarct volume prediction in anterior cerebral circulation large vessel occlusion",

keywords = "CT angiography, stroke, deep learning, machine learning, convolutional neural network, ACUTE ISCHEMIC-STROKE, CT PERFUSION, THRESHOLDS VARY, SOURCE IMAGES, CORE, RELIABILITY, SOFTWARE, PLATFORM, 3126 Surgery, anesthesiology, intensive care, radiology, 3121 General medicine, internal medicine and other clinical medicine",

author = "Lasse Hokkinen and Teemu M{\"a}kel{\"a} and Sauli Savolainen and Marko Kangasniemi",

year = "2021",

month = nov,

doi = "10.1177/20584601211060347",

language = "English",

volume = "10",

journal = "Acta Radiologica Open",

issn = "2058-4601",

publisher = "SAGE Publications Ltd STM",

number = "11",

}

Computed tomography angiography-based deep learning method for treatment selection and infarct volume prediction in anterior cerebral circulation large vessel occlusion. / Hokkinen, Lasse ; Mäkelä, Teemu ; Savolainen, Sauli et al.
In: Acta Radiologica Open, Vol. 10, No. 11, 20584601211060347, 11.2021.

Research output: Contribution to journal › Article › Scientific › peer-review

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T1 - Computed tomography angiography-based deep learning method for treatment selection and infarct volume prediction in anterior cerebral circulation large vessel occlusion

AU - Hokkinen, Lasse

AU - Mäkelä, Teemu

AU - Savolainen, Sauli

AU - Kangasniemi, Marko

PY - 2021/11

Y1 - 2021/11

KW - CT angiography

KW - stroke

KW - deep learning

KW - machine learning

KW - convolutional neural network

KW - ACUTE ISCHEMIC-STROKE

KW - CT PERFUSION

KW - THRESHOLDS VARY

KW - SOURCE IMAGES

KW - CORE

KW - RELIABILITY

KW - SOFTWARE

KW - PLATFORM

KW - 3126 Surgery, anesthesiology, intensive care, radiology

KW - 3121 General medicine, internal medicine and other clinical medicine

U2 - 10.1177/20584601211060347

DO - 10.1177/20584601211060347

M3 - Article

SN - 2058-4601

VL - 10

JO - Acta Radiologica Open

JF - Acta Radiologica Open

IS - 11

M1 - 20584601211060347

ER -