The classification of flash visual evoked potential based on deep learning
Abstract Background Visual electrophysiology is an objective visual function examination widely used in clinical work and medical identification that can objectively evaluate visual function and locate lesions according to waveform changes. However, in visual electrophysiological examinations, the f...
Main Authors: | Na Liang, Chengliang Wang, Shiying Li, Xin Xie, Jun Lin, Wen Zhong |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-01-01
|
Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12911-023-02107-5 |
Similar Items
-
Out-of-Distribution (OOD) Detection Based on Deep Learning: A Review
by: Peng Cui, et al.
Published: (2022-10-01) -
Anomalous Example Detection in Deep Learning: A Survey
by: Saikiran Bulusu, et al.
Published: (2020-01-01) -
Sub-Health Identification of Reciprocating Machinery Based on Sound Feature and OOD Detection
by: Peng Cui, et al.
Published: (2021-08-01) -
Hazards&Robots: A dataset for visual anomaly detection in robotics
by: Dario Mantegazza, et al.
Published: (2023-06-01) -
Detection and Classification of Different Weapon Types Using Deep Learning
by: Volkan Kaya, et al.
Published: (2021-08-01)