Accessible, Affordable and Low-Risk Lungs Health Monitoring in Covid-19: Deep Cascade Reconstruction from Degraded LR-ULDCT
Author:
Affiliation:
1. Indian Institute of Information Technology Vadodara,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761566.pdf?arnumber=9761566
Reference22 articles.
1. Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network
2. Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19
3. COVID-19 Evaluation by Low-Dose High Resolution CT Scans Protocol
4. A deep learning-enabled iterative reconstruction of ultra-low-dose CT: use of synthetic sinogram-based noise simulation technique
5. Augmented Noise Learning Framework for Enhancing Medical Image Denoising
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1. An AI-Based Low-Risk Lung Health Image Visualization Framework Using LR-ULDCT;Journal of Imaging Informatics in Medicine;2024-03-15
2. A Cognitive Behavioral AI: Novel Conversational Memory Elements for Technical Understanding of Medical Deep Denoisers;2023 IEEE 5th International Conference on Cognitive Machine Intelligence (CogMI);2023-11-01
3. A Strictly Bounded Deep Network for Unpaired Cyclic Translation of Medical Images;2023 IEEE Statistical Signal Processing Workshop (SSP);2023-07-02
4. Self-supervised Learning for Medical Image Restoration: Investigation and Finding;Lecture Notes in Electrical Engineering;2023
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