Task-specific self-supervision for CT image denoising-Reference-Cited by-同舟云学术

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Task-specific self-supervision for CT image denoising

Published:2023-06-18 Issue:6 Volume:11 Page:2196-2208
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Haque Ayaan¹²,Wang Adam²,Al Zubaer Imran Abdullah²³

Affiliation:

1. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA

2. Department of Radiology, Stanford University, Stanford, CA, USA

3. Department of Computer Science, University of Kentucky, Lexington, KY, USA

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2219771

Reference38 articles.

1. Cascaded Convolutional Neural Networks with Perceptual Loss for Low Dose CT Denoising

2. DVAE: Deep Variational Auto-Encoders for Denoising Retinal Fundus Image

3. Computed Tomography — An Increasing Source of Radiation Exposure

4. Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

5. Low-dose CT denoising with convolutional neural network

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