Background: 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 detected with the help of different MRI analysis techniques and later image
analysis strategies assess these images.
Discussion: 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.
Conclusion: Finally, the current state of the art is investigated and future directions are proposed.
Keywords: Knee bone disease, knee image analysis, MRI, knee image segmentation, features mining, knee cancers.
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