Figure 1 | Scientific Reports

Figure 1

From: Computer-Aided Nodule Assessment and Risk Yield (CANARY) may facilitate non-invasive prediction of EGFR mutation status in lung adenocarcinomas

Figure 1

(a–d) Example of nodule characterization by CANARY in which the (a) user selects a seed in the center of the nodule guided by x, y and z axis, (b) a mask is generated encompassing the nodule’s volume in which CANARY analysis (c) assigns each voxel the color code of the closest exemplar which is also represented by a glyph (d) displaying the relative proportion of each exemplar within a nodule.

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