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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/167547 |
| _version_ | 1811688912804904960 |
|---|---|
| author | Yip, Mei Chen |
| author2 | Mohammed Yakoob Siyal |
| author_facet | Mohammed Yakoob Siyal Yip, Mei Chen |
| author_sort | Yip, Mei Chen |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T05:39:45Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/167547 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:39:45Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1675472023-07-07T15:44:47Z Image processing algorithm for medical applications Yip, Mei Chen Mohammed Yakoob Siyal School of Electrical and Electronic Engineering EYAKOOB@ntu.edu.sg Engineering::Electrical and electronic engineering 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. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-29T05:22:41Z 2023-05-29T05:22:41Z 2023 Final Year Project (FYP) Yip, M. C. (2023). Image processing algorithm for medical applications. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167547 https://hdl.handle.net/10356/167547 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Yip, Mei Chen Image processing algorithm for medical applications |
| title | Image processing algorithm for medical applications |
| title_full | Image processing algorithm for medical applications |
| title_fullStr | Image processing algorithm for medical applications |
| title_full_unstemmed | Image processing algorithm for medical applications |
| title_short | Image processing algorithm for medical applications |
| title_sort | image processing algorithm for medical applications |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/167547 |
| work_keys_str_mv | AT yipmeichen imageprocessingalgorithmformedicalapplications |