Enhancing cone-beam computed tomography image quality using improved denoising diffusion probabilistic model
Cone beam computed tomography (CBCT) is an important tool for many clinical and industrial applications. Compared with conventional fan-beam CT scans, CBCTs require less radiation exposure and shorter scanning time. However, CBCTs have limitations such as poor tissue contrast, image artifacts, and u...
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Main Author: | Nyamtsogt Munkhbilguun |
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Other Authors: | Cai Yiyu |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/167998 |
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Institution: | Nanyang Technological University |
Language: | English |
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