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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2019
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Materias: | |
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 |