Detection of intracranial aneurysms using deep learning-based CAD system: usefulness of the scores of CNN’s final layer for distinguishing between aneurysm and infundibular dilatation

PURPOSE: We evaluated the diagnostic performance of a clinically available deep learning-based computer-assisted diagnosis software for detecting unruptured aneurysms (UANs) using magnetic resonance angiography and assessed the functionality of the convolutional neural network (CNN) final layer scor...

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Detalles Bibliográficos
Autores principales: Ishihara, Makiko, Shiiba, Masato, Maruno, Hirotaka, Kato, Masayuki, Ohmoto-Sekine, Yuki, Antoine, Choppin, Ouchi, Yasuyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889446/
https://www.ncbi.nlm.nih.gov/pubmed/36173510
http://dx.doi.org/10.1007/s11604-022-01341-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889446/
https://www.ncbi.nlm.nih.gov/pubmed/36173510
http://dx.doi.org/10.1007/s11604-022-01341-7

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