Results
Show: Training | Testing | CustomOverall
Method | Challenge | Avg. Ov. | Avg. Acc. | Avg. | Computation time | User-interaction | ||
---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | rank | rank | rank | (per dataset) | (per vessel) | |
MHT Friman et al. |
X | 4.05 | 4.46 | 4.25 | 6 minutes | 2 to 5 points (2.6 avg) | ||
ShapeRegression Schaap et al. |
X | 5.82 | 3.55 | 4.69 | 22 minutes | 2.2 | ||
CNNTracker Wolterink et al. |
X | 7.82 | 4.02 | 5.92 | 10 s | Typically 1 seed. | ||
ModelDrivenCenterline Zheng et al. |
X | 10.43 | 2.80 | 6.61 | 1 min | No | ||
VirtualContrast2b Wang and Smedby |
X | 7.08 | 8.63 | 7.85 | 2 minutes | 3 points | ||
BayesianMaxPaths Lesage et al. |
X | 4.69 | 11.63 | 8.16 | 4 minutes | Point S and point E | ||
Tracer Szymczak |
X | 9.41 | 6.97 | 8.19 | 30 minutes | Point S and point E | ||
SupervisedExtraction Kitamura et al. |
X | 13.18 | 4.92 | 9.05 | 2 minutes and 40 seconds | |||
GFVCoronaryExtractor Yang et al. |
X | 10.55 | 11.67 | 11.11 | 2 minutes | None | ||
HOT tractography Cetin et al. |
X | 6.56 | 15.70 | 11.13 | <30 sec. | avg 0.5 seed per vessel (1 seed per vessel tree) | ||
DepthFirstModelFit Zambal et al. |
X | 13.73 | 8.71 | 11.22 | 4-8 minutes | |||
COR Analyzer |
X | 15.02 | 7.60 | 11.31 | 4-6 min | |||
VesselTractography Cetin et al. |
X | 9.18 | 17.07 | 13.13 | 8-10 min | Point U | ||
KnowledgeBasedMinPath Krissian et al. |
X | 9.06 | 18.49 | 13.77 | 7 hours | Point E | ||
Statistical ranking based MHT Selvan et al. |
X | 10.86 | 18.08 | 14.47 | 3 seconds per scan | Seedpoint B | ||
AutoCoronaryTree Tek et al. |
X | 17.45 | 12.67 | 15.06 | < 30 seconds | |||
GVFTube'n'Linkage Bauer and Bischof |
X | 12.30 | 17.89 | 15.10 | 10 minutes | |||
CocomoBeach Kitslaar et al. |
X | 18.64 | 12.06 | 15.35 | 70 seconds | |||
TwoPointMinCost Metz et al. |
X | 11.66 | 19.28 | 15.47 | 12 minutes | Point S and point E | ||
StatisticalTracking Wang et al. |
X | 14.46 | 20.70 | 17.58 | 45 minutes | Point S | ||
VirtualContrast Wang and Smedby |
X | 18.93 | 16.99 | 17.96 | 5 minutes | |||
AxialSymmetry Dikici et al. |
X | 15.50 | 20.58 | 18.04 | 5 minutes | Point E | ||
TubSurfGradFlow Mohan et al. |
X | 15.06 | 21.77 | 18.42 | 3 to 5 points | |||
ElasticModel Hernández Hoyos et al. |
X | 19.50 | 18.44 | 18.97 | 2-6 minutes | Global intens. thresh. + 1 point per axis | ||
3DInteractiveTrack Zhang et al. |
X | 16.92 | 22.60 | 19.76 | 3-6 minutes | 3 to 10 points | ||
CoronaryTreeMorphoRec Castro et al. |
X | 21.80 | 23.60 | 22.70 | 30 minutes | Point S |
Overlap measures
Method | Challenge | OV | OF | OT | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | % | score | rank | % | score | rank | % | score | rank | |
MHT Friman et al. |
X | 98.5 | 84.0 | 3.30 | 83.1 | 72.8 | 5.34 | 98.7 | 84.5 | 3.50 | ||
ShapeRegression Schaap et al. |
X | 96.9 | 79.2 | 5.04 | 72.5 | 66.3 | 7.00 | 97.1 | 79.2 | 5.43 | ||
CNNTracker Wolterink et al. |
X | 93.7 | 55.5 | 12.56 | 81.5 | 70.5 | 5.63 | 97.0 | 79.1 | 5.26 | ||
ModelDrivenCenterline Zheng et al. |
X | 93.5 | 53.4 | 12.81 | 76.5 | 54.9 | 9.68 | 95.6 | 70.0 | 8.79 | ||
VirtualContrast2b Wang and Smedby |
X | 96.7 | 73.0 | 6.55 | 74.5 | 63.3 | 8.13 | 96.9 | 74.7 | 6.55 | ||
BayesianMaxPaths Lesage et al. |
X | 97.5 | 81.6 | 3.99 | 78.8 | 70.8 | 5.73 | 97.7 | 81.5 | 4.36 | ||
Tracer Szymczak |
X | 95.1 | 71.0 | 8.22 | 63.5 | 52.0 | 11.18 | 95.5 | 70.2 | 8.82 | ||
SupervisedExtraction Kitamura et al. |
X | 90.6 | 53.8 | 14.85 | 70.9 | 49.0 | 12.35 | 92.5 | 61.2 | 12.33 | ||
GFVCoronaryExtractor Yang et al. |
X | 93.7 | 55.9 | 12.56 | 74.2 | 52.9 | 10.60 | 95.9 | 68.5 | 8.49 | ||
HOT tractography Cetin et al. |
X | 97.3 | 72.9 | 6.17 | 77.4 | 63.2 | 7.69 | 97.7 | 75.4 | 5.81 | ||
DepthFirstModelFit Zambal et al. |
X | 84.7 | 48.6 | 16.52 | 65.3 | 49.2 | 11.81 | 87.0 | 60.1 | 12.86 | ||
COR Analyzer |
X | 87.7 | 50.3 | 16.84 | 71.7 | 47.8 | 14.10 | 89.8 | 59.5 | 14.11 | ||
VesselTractography Cetin et al. |
X | 96.4 | 64.3 | 8.92 | 69.9 | 51.6 | 10.63 | 97.0 | 70.3 | 7.99 | ||
KnowledgeBasedMinPath Krissian et al. |
X | 88.0 | 67.4 | 9.22 | 74.2 | 61.1 | 9.28 | 88.5 | 70.0 | 8.67 | ||
Statistical ranking based MHT Selvan et al. |
X | 91.8 | 63.6 | 10.86 | 71.0 | 53.9 | 11.28 | 93.4 | 67.7 | 10.43 | ||
AutoCoronaryTree Tek et al. |
X | 84.7 | 46.5 | 18.35 | 59.5 | 36.1 | 16.54 | 86.2 | 50.3 | 17.46 | ||
GVFTube'n'Linkage Bauer and Bischof |
X | 92.7 | 52.3 | 14.33 | 71.9 | 51.4 | 12.17 | 95.3 | 67.0 | 10.41 | ||
CocomoBeach Kitslaar et al. |
X | 78.8 | 42.5 | 20.23 | 64.4 | 40.0 | 16.39 | 81.2 | 46.9 | 19.31 | ||
TwoPointMinCost Metz et al. |
X | 91.9 | 64.5 | 10.54 | 56.4 | 45.6 | 13.40 | 92.5 | 64.5 | 11.04 | ||
StatisticalTracking Wang et al. |
X | 81.5 | 45.5 | 17.45 | 59.1 | 46.7 | 13.03 | 84.6 | 59.5 | 12.89 | ||
VirtualContrast Wang and Smedby |
X | 75.6 | 39.2 | 20.93 | 56.1 | 34.5 | 17.15 | 78.7 | 45.6 | 18.70 | ||
AxialSymmetry Dikici et al. |
X | 90.8 | 56.8 | 14.17 | 48.9 | 35.6 | 16.99 | 91.7 | 55.9 | 15.33 | ||
TubSurfGradFlow Mohan et al. |
X | 91.1 | 53.3 | 15.21 | 65.3 | 41.9 | 14.26 | 92.2 | 53.9 | 15.72 | ||
ElasticModel Hernández Hoyos et al. |
X | 77.0 | 40.5 | 20.63 | 52.1 | 31.5 | 18.34 | 79.0 | 45.3 | 19.54 | ||
3DInteractiveTrack Zhang et al. |
X | 89.6 | 51.1 | 16.11 | 49.9 | 30.5 | 18.23 | 90.6 | 52.4 | 16.42 | ||
CoronaryTreeMorphoRec Castro et al. |
X | 67.0 | 34.5 | 22.89 | 36.3 | 20.5 | 20.08 | 69.1 | 36.7 | 22.44 |