Deep learning convolutional neural network (DLCNN): unleashing the potential of ¹⁸F-FDG PET/CT in lymphoma

This perspective briefly reviewed the applications of ¹⁸F-FDG PET/CT in the clinical management of lymphoma and the need for lesion segmentation in those applications. It discussed the limitations of existing segmentation technologies and the great potential of using deep learning convolutional neural network (DLCNN) to accomplish automatic lymphoma segmentation and characterizations. Finally, the authors shared perspectives on the technical challenges that need to be addressed to fully unleash the potential of DLCNN and ¹⁸F-FDG PET/CT in the diagnosis, prognosis, and treatment of lymphoma.