Cone-beam computed tomography-based radiomic analysis of architectural phenotypes in jaw cysts and tumors using interpretable artificial intelligence models

Figure 2 Representative volumetric segmentation masks of architectural phenotype groups utilized for radiomic feature extraction from cone-beam computed tomography datasets. A: Homogeneous fluid-dominant phenotype demonstrating a well-defined uniform lesion volume with minimal internal complexity; B: Intermediate septated phenotype demonstrating moderate internal architectural heterogeneity and partial structural compartmentalization; C: Complex heterogeneous phenotype demonstrating irregular volumetric architecture with multilocularity and increased internal structural complexity. Colored overlays represent manually delineated three-dimensional volumetric regions of interest used for radiomic analysis.