High-quality tomographic image reconstruction integrating neural networks and mathematical optimization
Machine Learning: Science and Technology (IOP Publishing)
A compact ReLU network is trained to approximate local edge intensity from image patches, then translated into a mixed-integer formulation and integrated with an optimization-based reconstruction pipeline. The resulting method improves edge sharpness and material homogeneity while preserving explicit control over reconstruction fidelity.