InNetGAN: Inception network-based generative adversarial network for denoising low-dose computed tomography
Low-dose Computed Tomography (LDCT) has gained a great deal of attention in clinical procedures due to its ability to reduce the patient's risk of exposure to the X-ray radiation. However, reducing the X-ray dose increases the quantum noise and artifacts in the acquired LDCT images. As a result...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Hindawi Publishing Corporation
2021
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/26518/ |
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| Institution: | Universiti Malaya |