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Bioluminescence Tomography Based on One-Dimensional Convolutional Neural Networks
2021
Frontiers in Oncology
Bioluminescent tomography (BLT) has increasingly important applications in preclinical studies. However, the simplified photon propagation model and the inherent ill-posedness of the inverse problem limit the quality of BLT reconstruction. In order to improve the reconstruction accuracy of positioning and reconstruction efficiency, this paper presents a deep-learning optical reconstruction method based on one-dimensional convolutional neural networks (1DCNN). The nonlinear mapping relationship
doi:10.3389/fonc.2021.760689
pmid:34733793
pmcid:PMC8558399
fatcat:q4vohjsw5jezbox43bzjxjrbbq