Tinnitus classification based on resting-state functional connectivity using a convolutional neural network architecture Article Swipe

View

Qianhui Xu , Leilei Zhou , Chunhua Xing , Xiaomin Xu , Yuan Feng , Han Lv , Fei Zhao , Yu‐Chen Chen , Yuexin Cai ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1016/j.neuroimage.2024.120566

Our CNN model could appropriately tackle the diagnosis of tinnitus patients using rs-fMRI and confirmed the diagnostic value of FC as measured by rs-fMRI.

Related Topics To Compare & Contrast

Tinnitus

Default Mode Network

Convolutional Neural Network

Salience (Neuroscience)

Resting State Fmri

Computer Science

Artificial Intelligence

Neuroimaging

Audiology

Neuroscience

Concepts

Tinnitus Default mode network Convolutional neural network Salience (neuroscience) Resting state fMRI Computer science Functional connectivity Artificial intelligence Neuroimaging Audiology Psychology Neuroscience Pattern recognition (psychology) Medicine

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.neuroimage.2024.120566
OA Status: gold
Cited By: 7
References: 47
Related Works: 10
OpenAlex ID: https://openalex.org/W4393178845

All OpenAlex metadata

Raw OpenAlex JSON

No additional metadata available.