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A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm

PURPOSE: This study aimed to investigate whether a deep learning model for automated detection of unruptured intracranial aneurysms on time-of-flight (TOF) magnetic resonance angiography (MRA) can achieve a target diagnostic performance comparable to that of human radiologists for approval from the...

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Detalles Bibliográficos
Autores principales:	Joo, Bio, Choi, Hyun Seok, Ahn, Sung Soo, Cha, Jihoon, Won, So Yeon, Sohn, Beomseok, Kim, Hwiyoung, Han, Kyunghwa, Kim, Hwa Pyung, Choi, Jong Mun, Lee, Sang Min, Kim, Tae Gyu, Lee, Seung-Koo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Yonsei University College of Medicine 2021
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542476/ https://www.ncbi.nlm.nih.gov/pubmed/34672139 http://dx.doi.org/10.3349/ymj.2021.62.11.1052

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