Dear All,
I am working on DICOM Images provided in the Mendeley Dataset [Source (https://data.mendeley.com/datasets/zbf6b4pttk/2)]. I have done following:-
a. Extracted Mid-Sagittal Views for both T1 and T2 Weighted Images.
b. Performed basic pre-processing for Image preparation.
c. Created BW (Mask) as well as Pseudo Colored Image.
Now I am trying to:-
a. Segment out the Lumbar Vertebrates and Sacrum Vertebrates (Using regionprops)
b. Mark the Centroids on the Lumbar and Sacrum Bones.
c. Assign labels to Image like L1, L2..L5 (Lumbar) and S for Sacrum (I am assuming S1 as Sacrum Bone and ignoring other levels of Sacrum vertebrates).
d. Input the labelled images to Deep Network for training followed by testing/validation, purposes.
Please suggest the best possible practices for image segmentation for this particular problem.
Best Answer