Texture Feature-Based Machine Learning Classification on MRI Image for Sepsis-Associated Encephalopathy Detection: A Pilot Study

<div>ROIs of the SAE patient (marked red). The first, second, third, and fourth rows were frontal regions lobe, brain stem, hippocampus, and amygdala, respectively. The first, second, and third columns were transverse, coronal, and sagittal images, respectively. The sagittal image of amygdala was absent.</div>

Computational and Mathematical Methods in Medicine

fig1

Figure 1

Figure 1: Texture Feature-Based Machine Learning Classification on MRI Image for Sepsis-Associated Encephalopathy Detection: A Pilot Study 