Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Image Enhancement and Segmentation Techniques for Detection of Knee Joint Diseases: A Survey

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

[img] Text
Image Enhancement and Segmentation Techniques for Detection of Knee Joint Diseases A Survey.pdf - Accepted Version
Restricted to Repository staff only until 1 September 2019.

Download (937kB)

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
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
Divisions: Computer Science
Publisher: Bentham Science Publishers
Date Deposited: 17 Sep 2018 10:15
Last Modified: 17 Sep 2018 14:19
DOI or Identification number: 10.2174/1573405613666170912164546
URI: http://researchonline.ljmu.ac.uk/id/eprint/9208

Actions (login required)

View Item View Item