Classification results: each figure is the average of three independent experiments using different training and test datasets.

<p>Classification results: each figure is the average of three independent experiments using different training and test datasets.</p

Kaplan-Meier plot showing the survival rates of responders and non-responders.

<p>Kaplan-Meier plot showing the survival rates of responders and non-responders.</p

Patients characteristics.

<p>Patients characteristics.</p

Examples of feature maps in the first and last max-pooling layers <b>V</b>⁽¹⁾<b>,</b><b>V</b>⁽⁴⁾ of the CNN architecture.

<p>The feature maps illustrate how a specific triplet is represented in the first and last max-pooling layers.</p

Distributions of axial ¹⁸F-FDG PET intra slices extracted from the 3D tumor volume of non-responders and responders.

<p>Distributions of axial ¹⁸F-FDG PET intra slices extracted from the 3D tumor volume of non-responders and responders.</p

Spearman's rank correlation coefficient, |p|, between PET and CT perfusion parameters and theirs associated p-values for stage III/IV patients.

<p>Spearman's rank correlation coefficient, |p|, between PET and CT perfusion parameters and theirs associated p-values for stage III/IV patients.</p

¹⁸F-FDG PET ROIs of a specific tumor <i>i</i> after segmentation embedded into larger square background of standard size of 100 × 100 pixels.

<p>Each enlarged slice is denoted by <b>x</b>_<i>i,j</i> and each set of three spatially adjacent enlarged slides is denoted by <b>z</b>_<i>i,k</i>, where <i>j</i> and <i>k</i> represent the slices and triplets of the specific tumor <i>i</i>. In this example only 3 triplets, from the 5 available slices can be formed, so <i>k</i> = 1,2,3.</p

Texture type, scale and associated features.

<p>Texture type, scale and associated features.</p

Correlation between PET heterogeneity and BF.

<p>Scatter diagrams with regression line (solid line) and associated 95% CI (curves above and below regression line represented upper and lower bounds of 95% CI) showing the correlation of BF with A) IV (|ρ| = 0.75, 95%CI: 0.35 to 0.92, p = 0.02), B) local homogeneity (|ρ| = 0.78, 95%CI: 0.40 to 0.93, p = 0.01), C) MATV (|ρ| = 0.71, 95%CI: 0.26 to 0.90, p = 0.05) in stage III/IV tumors.</p

Heterogeneity analysis process.

<p>Illustration of heterogeneity analysis process: in upper an example of tumor (PET/CT with transverse, coronal and sagittal view), at the bottom: illustration of the FLAB delineation after a manual ROI selection that allows heterogeneity analysis.</p