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

页码：2024 / 2035

页数：11

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