Deep-Learning-Based Algorithm for the Removal of Electromagnetic Interference Noise in Photoacoustic Endoscopic Image Processing

Deep-Learning-Based Algorithm for the Removal of Electromagnetic Interference Noise in Photoacoustic Endoscopic Image Processing

Despite all the expectations for photoacoustic endoscopy (PAE), there are still several technical issues that must be resolved before the technique can be successfully translated into clinics. Among these, electromagnetic interference (EMI) noise, in addition to the limited signal-to-noise ratio (SN...

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Bibliographic Details
Main Authors: Oleksandra Gulenko, Hyunmo Yang, KiSik Kim, Jin Young Youm, Minjae Kim, Yunho Kim, Woonggyu Jung, Joon-Mo Yang
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
electromagnetic interference noise
noise removal
convolutional neural network
image-to-image regression
deep learning
photoacoustic tomography
Online Access:https://www.mdpi.com/1424-8220/22/10/3961

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https://www.mdpi.com/1424-8220/22/10/3961

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