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BioMed Research International
/
2018
/
Article
/
Tab 1
/
Research Article
Automatic Global Level Set Approach for Lumbar Vertebrae CT Image Segmentation
Table 1
Average DSC (%), MCR(%), MAD (pixel), HD (pixel), and RT (second) with standard deviation of various segmentation results with different levels of noise.
Input images
Criteria
C-V [
15
]
Lim [
21
]
Khadidos [
30
]
Liu [
31
]
AGLSA
Original images
DSC(%)
MCR(%)
MAD(P)
HD (P)
RT (S)
Images with 1% salt and pepper noise
DSC(%)
MCR(%)
MAD(P)
HD (P)
RT (S)
Images with 3% salt and pepper noise
DSC(%)
MCR(%)
MAD(P)
HD (P)
RT (S)
Images with 5% salt and pepper noise
DSC(%)
MCR(%)
MAD(P)
HD (P)
RT (S)
Images with 7% salt and pepper noise
DSC(%)
MCR(%)
MAD(P)
HD (P)
RT (S)