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Abstract 268: Validation of an automated method to assess 24‐hour infarct volume in stroke patients

Introduction In stroke patients, accurate infarct volume assessment at 24 hours typically requires manual segmentation of lesions that often are not well defined. We aimed to validate an automated machine learning algorithm (MethinksFIV) specifically trained to automatically segment and measure suba...

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Autori principali: Magda Jablonska, João André Sousa, Marc Molina, Pere Canals, Alvaro Garcia‐Tornel, Marc Rodrigo‐Gisbert, Federica Rizzo, Marta Olivé‐Gadea, Manuel Requena, David Rodriguez‐Luna, Noelia Rodriguez‐Villatoro, Jesús M. Juega, Marián Muchada, Jorge Pagola, Marta Rubiera, Alejandro Tomasello, Carlos A. Molina, Leonardo Tanzi, Victor Salvia, Cristian Marti, Marc Ribo
Natura: Artigo
Lingua:Inglês
Pubblicazione: Wolters Kluwer Health 2023-11-01
Serie:Stroke: Vascular and Interventional Neurology
Accesso online:https://www.ahajournals.org/doi/10.1161/SVIN.03.suppl_2.268
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