Assessing robustness and generalization of a deep neural network for brain MS lesion segmentation on real-world data

被引：0
|
作者：
Hernán Chaves
María M. Serra
Diego E. Shalom
Pilar Ananía
Fernanda Rueda
Emilia Osa Sanz
Nadia I. Stefanoff
Sofía Rodríguez Murúa
Martín E. Costa
Felipe C. Kitamura
Paulina Yañez
Claudia Cejas
Jorge Correale
Enzo Ferrante
Diego Fernández Slezak
Mauricio F. Farez
机构：
[1] Fleni,Diagnostic Imaging Department
[2] University of Buenos Aires (UBA),Department of Physics
[3] Physics Institute of Buenos Aires (IFIBA) CONICET,Laboratorio de Neurociencia
[4] Universidad Torcuato Di Tella,Radiology Department
[5] ENTELAI,Center for Research On Neuroimmunological Diseases (CIEN)
[6] Diagnósticos da América SA (Dasa),Neurology Department
[7] Fleni,Departamento de Computación, Facultad de Ciencias Exactas y Naturales
[8] DasaInova,Center for Biostatistics, Epidemiology and Public Health (CEBES)
[9] Diagnósticos da América SA (Dasa),undefined
[10] Fleni,undefined
[11] Instituto de Investigación en Señales,undefined
[12] Sistemas e Inteligencia Computacional,undefined
[13] sinc(i) CONICET-UNL,undefined
[14] Universidad de Buenos Aires (UBA),undefined
[15] Instituto de Investigación en Ciencias de la Computación (ICC),undefined
[16] CONICET-UBA,undefined
[17] Fleni,undefined
来源：
European Radiology | 2024年 / 34卷
关键词：
Deep learning; Multiple sclerosis; White matter; Magnetic resonance imaging; Algorithms;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：2024 / 2035
页数：11
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