Factors influencing the reliability of a CT angiographybased deep learning method for infarct volume estimation

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Originalspråk	engelska
Artikelnummer	tzae001
Tidskrift	British Journal of Radiology
Volym	6
Nummer	1
Antal sidor	7
ISSN	0007-1285
DOI	https://doi.org/10.1093/bjro/tzae001
Status	Publicerad - 2024
MoE-publikationstyp	A1 Tidskriftsartikel-refererad

Vetenskapsgrenar

@article{63c85d9f92a544cf8460ea8f75df98f1,

title = "Factors influencing the reliability of a CT angiographybased deep learning method for infarct volume estimation",

keywords = "3126 Surgery, anesthesiology, intensive care, radiology",

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

year = "2024",

doi = "10.1093/bjro/tzae001",

language = "English",

volume = "6",

journal = "British Journal of Radiology",

issn = "0007-1285",

publisher = "Oxford University Press",

number = "1",

}

TY - JOUR

T1 - Factors influencing the reliability of a CT angiographybased deep learning method for infarct volume estimation

AU - Hokkinen, Lasse

AU - Mäkelä, Teemu Olavi

AU - Savolainen, Sauli

AU - Kangasniemi, Marko

PY - 2024

Y1 - 2024

KW - 3126 Surgery, anesthesiology, intensive care, radiology

U2 - 10.1093/bjro/tzae001

DO - 10.1093/bjro/tzae001

M3 - Article

SN - 0007-1285

VL - 6

JO - British Journal of Radiology

JF - British Journal of Radiology

IS - 1

M1 - tzae001

ER -