Fig 1.
Network representation of the whole data-set before clustering superimposed to the mean registered image.
The nodes are located in the center of gravity of the tumors and bigger nodes have bigger network centrality (i.e. they are strongly connected to many other nodes). The edges colors and strength represent the distance between nodes (from red and thick (short distance) to blue and thin). For visibility reasons, arcs corresponding to a distance greater than 35 are not displayed.
Fig 2.
Examples of cluster probability maps describing the spatial repartition of tumors in the cluster.
The maps are superimposed to the mean registered image.
Fig 3.
Cluster validity indices with respect to the value of α (a, b, c, d) and the number of clusters (e).
Dunn index (a), Davies Bouldin index (b), Silhouette index (c) and combined indices (d, e).
Fig 4.
Visualization of the complete clustered graph superimposed to the mean registered image.
The numbers correspond to the number of nodes in each cluster.
Table 1.
Anatomical location of the different clusters.
Fig 5.
Positions of the cluster centers on the MNI atlas.
The clusters are organized in numerical order (from cluster 1 to 11).
Fig 6.
Examples of graph matching results.
(a) Complete match, (b, c) Partial match. Positive matches correspond to blue edges and mismatched samples to red edges. The nodes’ locations correspond to the coordinates of the cluster centres of each clustering. The green nodes have been translated along the x axis for visualisation purposes.
Table 2.
Mean and median (in parentheses) values of the different scores and methods for tumor segmentation.
Fig 7.
Boxplots of the Dice score (a), True Positive rate (b), False positive rate (c), and MAD score (d) between the automatic and manual tumor segmentation for the three different methods.
Fig 8.
(a) boosting score, (b) Boosting classification (thresholding), (c) Pairwise MRF, (d) MRF with spatial prior.
Table 3.
Mean and median ages at the time of the first symptoms for each cluster.
Table 4.
Mean and median ages at the time of MRI diagnosis for each cluster.
Fig 9.
Patient’s age at the time of the first symptoms (a) and MRI diagnosis (b) for each cluster.