Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising
Jang S, Pan T, Li Y, Heidari P, Chen J, Li Q, Gong K. Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising. IEEE Transactions On Medical Imaging 2024, 43: 2036-2049. PMID: 37995174, PMCID: PMC11111593, DOI: 10.1109/tmi.2023.3336237.Peer-Reviewed Original ResearchConceptsMulti-head self-attentionConvolutional neural networkSelf-attentionSignal-to-noise ratioState-of-the-art deep learning architecturesGlobal self-attentionState-of-the-artLocal feature extractionDeep learning architectureLow signal-to-noise ratioImage denoisingChannel informationChannel-wiseLearning architectureFeature extractionNeural networkTransformation frameworkComputational costReceptive fieldsImage qualityQuantitative meritDenoisingFrameworkQuantitative resultsDataset