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Fig. 1 | BMC Cancer

Fig. 1

From: Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images

Fig. 1

Processes of FGD-PET image for deep learning analysis. The primary tumor site on FDG-PET images (A) was carefully identified with the reference of CT images (B, arrow). Axial 2D FDG-PET image in which the largest area of the tumor was depicted was selected for analysis, and then the FDG-PET image was outputted with the fixed grayscale level of black (SUV = 0) to white (SUV = 30) (C). Coronal FDG-PET image was also selected and outputted in the same manner as axial image selection using a coronal reconstructed image dataset (D)

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BMC Cancer

ISSN: 1471-2407

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