Deep Learning for Automatically Visual Evoked Potential Classification During Surgical Decompression of Sellar Region Tumors

PURPOSE: Detection of the huge amount of data generated in real-time visual evoked potential (VEP) requires labor-intensive work and experienced electrophysiologists. This study aims to build an automatic VEP classification system by using a deep learning algorithm. METHODS: Patients with sellar reg...

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Detalles Bibliográficos
Autores principales: Qiao, Nidan, Song, Mengju, Ye, Zhao, He, Wenqiang, Ma, Zengyi, Wang, Yongfei, Zhang, Yuyan, Shou, Xuefei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2019
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6871542/
https://www.ncbi.nlm.nih.gov/pubmed/31788350
http://dx.doi.org/10.1167/tvst.8.6.21

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6871542/
https://www.ncbi.nlm.nih.gov/pubmed/31788350
http://dx.doi.org/10.1167/tvst.8.6.21

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