Evaluating a 3D deep learning pipeline for cerebral vessel and intracranial aneurysm segmentation from computed tomography angiography-digital subtraction angiography image pairs.

Patel, Tatsat R; Patel, Aakash; Veeturi, Sricharan S; Shah, Munjal; Waqas, Muhammad; Monteiro, Andre; Baig, Ammad A; Pinter, Nandor; Levy, Elad I; Siddiqui, Adnan H; Tutino, Vincent M

Patel, Tatsat R; Patel, Aakash; Veeturi, Sricharan S; Shah, Munjal; Waqas, Muhammad; Monteiro, Andre; Baig, Ammad A; Pinter, Nandor; Levy, Elad I; Siddiqui, Adnan H; Tutino, Vincent M.

Afiliación

Patel TR; 1Canon Stroke and Vascular Research Center.
Patel A; 2Department of Mechanical and Aerospace Engineering.
Veeturi SS; 3Department of Neurosurgery.
Shah M; 1Canon Stroke and Vascular Research Center.
Waqas M; 2Department of Mechanical and Aerospace Engineering.
Monteiro A; 1Canon Stroke and Vascular Research Center.
Baig AA; 2Department of Mechanical and Aerospace Engineering.
Pinter N; 1Canon Stroke and Vascular Research Center.
Levy EI; 2Department of Mechanical and Aerospace Engineering.
Siddiqui AH; 1Canon Stroke and Vascular Research Center.
Tutino VM; 3Department of Neurosurgery.

Neurosurg Focus ; 54(6): E13, 2023 06.

Article en En | MEDLINE | ID: mdl-37552697

Asunto(s)

Aprendizaje Profundo; Aneurisma Intracraneal; Humanos; Angiografía de Substracción Digital/métodos; Angiografía por Tomografía Computarizada; Aneurisma Intracraneal/diagnóstico por imagen; Angiografía Cerebral/métodos

Palabras clave

brain aneurysms; computed tomography angiography; deep learning; digital subtraction angiography; vasculature segmentation

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Aneurisma Intracraneal / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Neurosurg Focus Asunto de la revista: NEUROCIRURGIA Año: 2023 Tipo del documento: Article

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