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...

Descripció completa

Dades bibliogràfiques

Autors principals:	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
Format:	Artigo
Idioma:	Inglês
Publicat:	Wolters Kluwer Health 2023-11-01
Col·lecció:	Stroke: Vascular and Interventional Neurology
Accés en línia:	https://www.ahajournals.org/doi/10.1161/SVIN.03.suppl_2.268
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!