The classification of flash visual evoked potential based on deep learning

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...

Full description

Bibliographic Details
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:	Deep learning FVEP Out-of-distribution detection Convolutional neural networks
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)

Out-of-Distribution Detection Based on Feature Fusion in Neural Network Classifier Pre-Trained by PEDCC-Loss
by: Qiuyu Zhu, et al.
Published: (2022-01-01)

Investigation of deep learning for whitefly identification in coconut tree leaves
by: V. Kavithamani, et al.
Published: (2023-11-01)

Computer Aided Detection of Polyps in Whitelight- Colonoscopy Images using Deep Neural Networks
by: Wittenberg Thomas, et al.
Published: (2019-09-01)

Classification of Adulterated Particle Images in Coconut Oil Using Deep Learning Approaches
by: Attapon Palananda, et al.
Published: (2022-01-01)

Video Smoke Detection Method Based on Change-Cumulative Image and Fusion Deep Network
by: Tong Liu, et al.
Published: (2019-11-01)

Region-Based CNN Method with Deformable Modules for Visually Classifying Concrete Cracks
by: Lu Deng, et al.
Published: (2020-04-01)

NIDS-CNNLSTM: Network Intrusion Detection Classification Model Based on Deep Learning
by: Jiawei Du, et al.
Published: (2023-01-01)

An Enhanced Deep Learning-Based DeepFake Video Detection and Classification System
by: Joseph Bamidele Awotunde, et al.
Published: (2022-12-01)

An Efficient Deep-Learning-Based Detection and Classification System for Cyber-Attacks in IoT Communication Networks
by: Qasem Abu Al-Haija, et al.
Published: (2020-12-01)

Comparison of CNN-based deep learning architectures for rice diseases classification
by: Md Taimur Ahad, et al.
Published: (2023-09-01)

Classification of Lung Sounds with Deep Learning
by: Mehmet Bilal ER
Published: (2020-12-01)

An Analysis of Plant Diseases Identification Based on Deep Learning Methods
by: Xulu Gong, et al.
Published: (2023-08-01)

Automatic Detection of Cracks in Asphalt Pavement Using Deep Learning to Overcome Weaknesses in Images and GIS Visualization
by: Pang-jo Chun, et al.
Published: (2021-01-01)

Automated Sagittal Skeletal Classification of Children Based on Deep Learning
by: Lan Nan, et al.
Published: (2023-05-01)

Thai Silk Patterns Classification with Deep Neural Networks
by: Nakharin Ingo, et al.
Published: (2023-06-01)

Intra-Class Mixup for Out-of-Distribution Detection
by: Deepak Ravikumar, et al.
Published: (2023-01-01)

Composition of Hybrid Deep Learning Model and Feature Optimization for Intrusion Detection System
by: Azriel Henry, et al.
Published: (2023-01-01)

An effective deep learning approach for the classification of Bacteriosis in peach leave
by: Muneer Akbar, et al.
Published: (2022-11-01)

A deep learning architecture with an object-detection algorithm and a convolutional neural network for breast mass detection and visualization
by: Steven J. Frank
Published: (2023-11-01)

Multiclass Arrhythmia Detection and Classification From Photoplethysmography Signals Using a Deep Convolutional Neural Network
by: Zengding Liu, et al.
Published: (2022-04-01)

Discriminative Angle Feature Learning for Open-Set Deep Fault Classification
by: Jie Mei, et al.
Published: (2023-01-01)

Image Enhanced Mask R-CNN: A Deep Learning Pipeline with New Evaluation Measures for Wind Turbine Blade Defect Detection and Classification
by: Jiajun Zhang, et al.
Published: (2021-03-01)

Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks
by: Kamil Książek, et al.
Published: (2020-11-01)

Proximal detecting invertebrate pests on crops using a deep residual convolutional neural network trained by virtual images
by: Huajian Liu, et al.
Published: (2021-01-01)

Object Detection and Localization for Visually Impaired
by: Reddy Bolla Dileep, et al.
Published: (2023-01-01)

A Deep Learning Framework for Signal Detection and Modulation Classification
by: Xiong Zha, et al.
Published: (2019-09-01)

Classification of Breast Cancer in Mammograms with Deep Learning Adding a Fifth Class
by: Salvador Castro-Tapia, et al.
Published: (2021-12-01)

Date Fruit Classification Based on Surface Quality Using Convolutional Neural Network Models
by: Mohammed Almomen, et al.
Published: (2023-07-01)

AFSD: Adaptive Feature Space Distillation for Distributed Deep Learning
by: Salman Khaleghian, et al.
Published: (2022-01-01)

A Simple Framework for Robust Out-of-Distribution Detection
by: Youngbum Hur, et al.
Published: (2022-01-01)

A Survey on Deep-Learning-Based Diabetic Retinopathy Classification
by: Anila Sebastian, et al.
Published: (2023-01-01)

Automated Malignant Melanoma Classification Using Convolutional Neural Networks
by: José Guillermo Guarnizo, et al.
Published: (2022-12-01)

Real-Time Detection of Full-Scale Forest Fire Smoke Based on Deep Convolution Neural Network
by: Xin Zheng, et al.
Published: (2022-01-01)

Deep learning framework to extract anatomy for mosquito image classification
by: Marzieh Zare Nazari, et al.
Published: (2022-09-01)

Vehicle Classification Using Deep Feature Fusion and Genetic Algorithms
by: Ahmed S. Alghamdi, et al.
Published: (2023-01-01)