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in 95
cases. In particular, our method exhibits robust performance, especially to
cases with severe diseases and imaging artifacts. This method opens the door to
improve the speed and quality of spine imaging work
%þ
ts
various spine applications, e.g., quantitative measurements of spine geometry for
scoliosis diagnosis.
It is worth noting that the validation of the chapter is conducted on an in-house
dataset. Recently, a public dataset becomes available at SpineWeb
http://spineweb.
digitalimaginggroup.ca
.
This public dataset opens the window to compare different
methods in a much more fair way. Interested readers may test different methods or
develop new ones on this public dataset.
fl
ow. It can also bene
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