Development of Artificial Intelligence to Support Needle Electromyography Diagnostic Analysis

OBJECTIVES: This study proposes a method for classifying three types of resting membrane potential signals obtained as images through diagnostic needle electromyography (EMG) using TensorFlow-Slim and Python to implement an artificial-intelligence-based image recognition scheme. METHODS: Waveform im...

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Detalles Bibliográficos
Autores principales: Nam, Sangwoo, Sohn, Min Kyun, Kim, Hyun Ah, Kong, Hyoun-Joong, Jung, Il-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2019
Materias:
Tutorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6517633/
https://www.ncbi.nlm.nih.gov/pubmed/31131148
http://dx.doi.org/10.4258/hir.2019.25.2.131

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6517633/
https://www.ncbi.nlm.nih.gov/pubmed/31131148
http://dx.doi.org/10.4258/hir.2019.25.2.131

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