![Figure 6. Hierarchical segmentation of intra-tumoral tissue heterogeneity. The extension of the ependymoma is shown in (a) the T2-weighted image. (b) The complex network obtained from the acquired MRI features by the means of two subnetworks and one bridge node. (c) Back-projection onto the anatomical image. (d) Hierarchical analysis performed over the tumor subnetworks, with highlighted nodes according to the degree values (from yellow low-degree to violet high-degree). (e) Segmentation of intra-tumoral tissues by node hierarchies.](https://i0.wp.com/idsc.miami.edu/wp-content/uploads/2021/03/Figure-6.jpg?resize=730%2C350&ssl=1)
Role of Complex Networks for Integrating Medical Images and…
Human cancers exhibit phenotypic diversity that medical imaging can precisely and non-invasively detect. Multiple factors underlying innovations and progresses in the medical imaging field exert diagnostic and therapeutic impacts. Read more “Role of Complex Networks for Integrating Medical Images and Radiomic Features of Intracranial Ependymoma Patients in Response to Proton Radiotherapy”