MATLAB: Which matlab functions should I use to classify knee cartilge from MRI

classificationimage processingImage Processing Toolboximage segmentationMATLABsvm

I have three classes to separate from MRI image,
  • Tibial medial cartilage
  • Femoral medial cartilage
  • Background
For that, I need to combine one binary classifier trained to separate Tibial cartilage from the rest, and one binary classifier to separate Femoral cartilage from the rest with rejection threshold (t).
This is like one-versus all approach. I need to create three (number of classes) one-versus rest classifiers, and perform a winner-takes-all vote between them. For that, I will have a feature vector of Intensity, Position, Three-jet, Eigenvalue, and Eigenvector.
What matlab functions would be helpful for me to implement this? Should I need to use SVM here?
I am not asking to do it for me, any guidance, pointer, tips would be helpful for me. I have .dcm files, similar to this .jpg:
Thanks for your time 🙂

Best Answer

Note that although it talks primarily about SVM there, any binary classifier can be used with it.