Video Experimental Relacionado
Updated: Jan 24, 2026

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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
Published on: September 25, 2019
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UNISELF: Una red unificada con normalización de instancias y fusión de lesiones autoensamblada para la segmentación
Jinwei Zhang1, Lianrui Zuo2, Blake E Dewey3
1Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Medical image analysis
|January 22, 2026
Resumen
UNISELF mejora la segmentación automatizada de lesiones de esclerosis múltiple (EM) utilizando aprendizaje profundo (DL) al mejorar la precisión dentro del dominio y la generalización fuera del dominio. Este método destaca en diversos conjuntos de datos, abordando los cambios de dominio y los contrastes faltantes para una mejor detección de lesiones de EM.
Palabras clave:
generalización de dominionormalización de instanciassegmentación de lesionesesclerosis múltipleautoensamblajeMás Videos Relacionados
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