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Multidimensional Deep Learning Reduces False-Positives in t..:

Yuki Terasaki ; Hajime Yokota ; Kohei Tashiro...
https://www.frontiersin.org/articles/10.3389/fneur.2021.742126/full. , 2022

Link: https://doi.org/10.3389/fneur.2021.742126

RT Journal
T1 <Title>Multidimensional Deep Learning Reduces False-Positives in the Automated Detection of Cerebral Aneurysms on Time-Of-Flight Magnetic Resonance Angiography: A Multi-Center Study</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:f5926aeb26784ec78c044131d99b930c&Exemplar=1&LAN=DE
				
A1 Yuki Terasaki
A1 Hajime Yokota
A1 Kohei Tashiro
A1 Takuma Maejima
A1 Takashi Takeuchi
A1 Ryuna Kurosawa
A1 Shoma Yamauchi
A1 Akiyo Takada
A1 Hiroki Mukai
A1 Kenji Ohira
A1 Joji Ota
A1 Takuro Horikoshi
A1 Yasukuni Mori
A1 Takashi Uno
A1 Hiroki Suyari
PB Frontiers Media S.A.
YR 2022
K1 deep learning
K1 cerebral aneurysm
K1 magnetic resonance angiography
K1 false positive
K1 autodetection
K1 multidimensional convolutional neural network
K1 Neurology. Diseases of the nervous system
K1 RC346-429
JF https://www.frontiersin.org/articles/10.3389/fneur.2021.742126/full
LK http://dx.doi.org/https://doi.org/10.3389/fneur.2021.742126
DO https://doi.org/10.3389/fneur.2021.742126
SF ELIB - SuUB Bremen

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