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Saba, T, Rehman, A, Mehmood, Z, Kolivand, H and Sharif, M (2018) Image Enhancement and Segmentation Techniques for Detection of Knee Joint Diseases: A Survey. Current Medical Imaging Reviews, 14 (5). pp. 704-715. ISSN 1573-4056
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Image Enhancement and Segmentation Techniques for Detection of Knee Joint Diseases A Survey.pdf - Accepted Version Download (937kB) | Preview |
Abstract
Knee bone diseases are rare but might be highly destructive. Magnetic resonance imaging (MRI) is the main approach to identify knee cancer and its treatment. Normally, the knee cancers are pointed out with the help of different MRI analysis techniques and latter image analysis strategies understand these images. Computer-based medical image analysis is getting researcher's interest due to its advantages of speed and accuracy as compared to traditional techniques. The focus of current research is MRI-based medical image analysis for knee bone disease detection. Accordingly, several approaches for features extraction and segmentation for knee bone cancer are analyzed and compared on benchmark database. Finally, the current state of the art is investigated and future directions are proposed.
| Item Type: | Article |
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| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > R Medicine (General) |
| Divisions: | Computer Science & Mathematics |
| Publisher: | Bentham Science Publishers |
| Date Deposited: | 17 Sep 2018 10:15 |
| Last Modified: | 04 Sep 2021 10:07 |
| DOI or ID number: | 10.2174/1573405613666170912164546 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/9208 |
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