A review on region of interest-based hybrid medical image compression algorithms
Digital medical images have become a vital resource that supports decision-making and treatment procedures in healthcare facilities. The medical image consumes large sizes of memory, and the size keeps on growth due to the trend of medical image technology. The technology of telemedicine encourages...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Universitas Ahmad Dahlan
2020
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| Online Access: | http://eprints.utm.my/87512/1/SurianiMohdSam2020_AReviewonRegionofInterestBasedHybrid.pdf |
| _version_ | 1796864456597176320 |
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| author | Aziz, S. A. Sam, S. M. Mohamed, N. Daud, S. M. Rashid, S. Z. A. Abas, H. Yusof, M. F. Dziyauddin, R. A. |
| author_facet | Aziz, S. A. Sam, S. M. Mohamed, N. Daud, S. M. Rashid, S. Z. A. Abas, H. Yusof, M. F. Dziyauddin, R. A. |
| author_sort | Aziz, S. A. |
| collection | ePrints |
| description | Digital medical images have become a vital resource that supports decision-making and treatment procedures in healthcare facilities. The medical image consumes large sizes of memory, and the size keeps on growth due to the trend of medical image technology. The technology of telemedicine encourages the medical practitioner to share the medical image to support knowledge sharing to diagnose and analyse the image. The healthcare system needs to ensure distributes the medical image accurately with zero loss of information, fast and secure. Image compression is beneficial in ensuring that achieve the goal of sharing this data. The region of interest-based hybrid medical compression algorithm plays the parts to reduce the image size and shorten the time of medical image compression process. Various studies have enhanced by combining numerous techniques to get an ideal result. This paper reviews the previous works conducted on a region of interest-based hybrid medical image compression algorithms. |
| first_indexed | 2024-03-05T20:42:09Z |
| format | Article |
| id | utm.eprints-87512 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:42:09Z |
| publishDate | 2020 |
| publisher | Universitas Ahmad Dahlan |
| record_format | dspace |
| spelling | utm.eprints-875122020-11-08T04:05:29Z http://eprints.utm.my/87512/ A review on region of interest-based hybrid medical image compression algorithms Aziz, S. A. Sam, S. M. Mohamed, N. Daud, S. M. Rashid, S. Z. A. Abas, H. Yusof, M. F. Dziyauddin, R. A. T Technology (General) Digital medical images have become a vital resource that supports decision-making and treatment procedures in healthcare facilities. The medical image consumes large sizes of memory, and the size keeps on growth due to the trend of medical image technology. The technology of telemedicine encourages the medical practitioner to share the medical image to support knowledge sharing to diagnose and analyse the image. The healthcare system needs to ensure distributes the medical image accurately with zero loss of information, fast and secure. Image compression is beneficial in ensuring that achieve the goal of sharing this data. The region of interest-based hybrid medical compression algorithm plays the parts to reduce the image size and shorten the time of medical image compression process. Various studies have enhanced by combining numerous techniques to get an ideal result. This paper reviews the previous works conducted on a region of interest-based hybrid medical image compression algorithms. Universitas Ahmad Dahlan 2020 Article PeerReviewed application/pdf en http://eprints.utm.my/87512/1/SurianiMohdSam2020_AReviewonRegionofInterestBasedHybrid.pdf Aziz, S. A. and Sam, S. M. and Mohamed, N. and Daud, S. M. and Rashid, S. Z. A. and Abas, H. and Yusof, M. F. and Dziyauddin, R. A. (2020) A review on region of interest-based hybrid medical image compression algorithms. Telkomnika (Telecommunication Computing Electronics and Control), 18 (3). pp. 1650-1657. ISSN 1693-6930 http://www.dx.doi.org/10.12928/TELKOMNIKA.v18i3.14900 DOI: 10.12928/TELKOMNIKA.v18i3.14900 |
| spellingShingle | T Technology (General) Aziz, S. A. Sam, S. M. Mohamed, N. Daud, S. M. Rashid, S. Z. A. Abas, H. Yusof, M. F. Dziyauddin, R. A. A review on region of interest-based hybrid medical image compression algorithms |
| title | A review on region of interest-based hybrid medical image compression algorithms |
| title_full | A review on region of interest-based hybrid medical image compression algorithms |
| title_fullStr | A review on region of interest-based hybrid medical image compression algorithms |
| title_full_unstemmed | A review on region of interest-based hybrid medical image compression algorithms |
| title_short | A review on region of interest-based hybrid medical image compression algorithms |
| title_sort | review on region of interest based hybrid medical image compression algorithms |
| topic | T Technology (General) |
| url | http://eprints.utm.my/87512/1/SurianiMohdSam2020_AReviewonRegionofInterestBasedHybrid.pdf |
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