Skip to main content
Fig. 5 | EJNMMI Research

Fig. 5

From: Automated liver lesion detection in 68Ga DOTATATE PET/CT using a deep fully convolutional neural network

Fig. 5

Output of the prediction model on the testing dataset showing false positives. The first and second patient rows demonstrate small voxel areas not detected using the gold standard criteria, but they were detected as lesions by the trained model. These “false positive” lesions are on transaxial slices immediately adjacent to “true positive” gold standard lesions (at the edge of a true positive). Row three demonstrates a false positive due to significant misregistration between the PET and CT. Each row of transaxial 68Ga-DOTATATE PET slices is taken from a single study

Back to article page