Multiple Sclerosis Identification by 14-Layer Convolutional Neural Network With Batch Normalization, Dropout, and Stochastic Pooling

Aim: Multiple sclerosis is a severe brain and/or spinal cord disease. It may lead to a wide range of symptoms. Hence, the early diagnosis and treatment is quite important. Method: This study proposed a 14-layer convolutional neural network, combined with three advanced techniques: batch normalizatio...

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Detalles Bibliográficos
Autores principales: Wang, Shui-Hua, Tang, Chaosheng, Sun, Junding, Yang, Jingyuan, Huang, Chenxi, Phillips, Preetha, Zhang, Yu-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6236001/
https://www.ncbi.nlm.nih.gov/pubmed/30467462
http://dx.doi.org/10.3389/fnins.2018.00818

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6236001/
https://www.ncbi.nlm.nih.gov/pubmed/30467462
http://dx.doi.org/10.3389/fnins.2018.00818

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