A self-supervised framework jointly trains low-dose full-view, sparse-view, and limited-view CT reconstruction networks by enforcing cross-task consistency, with reported gains on simulated and real clinical data.
Computed tomography–an increasing source of radiation exposure,
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SS-CTML: Self-Supervised Cross-Task Mutual Learning for CT Image Reconstruction
A self-supervised framework jointly trains low-dose full-view, sparse-view, and limited-view CT reconstruction networks by enforcing cross-task consistency, with reported gains on simulated and real clinical data.