Image processing algorithm for medical applications
Noise in medical imaging is inevitable, and it is reduced using image processing algorithms. This step is crucial because noise frequently taints medical images during transmission, acquisition, or editing. The existence of noise distorts the image, which lowers its image quality. This results in in...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/167547 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Noise in medical imaging is inevitable, and it is reduced using image processing algorithms. This step is crucial because noise frequently taints medical images during transmission, acquisition, or editing. The existence of noise distorts the image, which lowers its image quality. This results in inaccurate image analysis by medical professionals, which may result in misdiagnosis or undetected illness. For the doctors to diagnose their patients’ illnesses correctly and swiftly as well as recommend an appropriate course of treatment, noise reduction is pretty much essential. |
|---|