Am J Nucl Med Mol Imaging. 2021 Aug 15;11(4):327-331. eCollection 2021.
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.