A Perspective on Deep Imaging

Abstract

The combination of tomographic imaging and deep learning, or machine learning in general, promises to empower not only image analysis but also image reconstruction. The latter aspect is considered in this perspective article with an emphasis on medical imaging to develop a new generation of image reconstruction theories and techniques. This direction might lead to intelligent utilization of domain knowledge from big data, innovative approaches for image reconstruction, and superior performance in clinical and preclinical applications. To realize the full impact of machine learning on medical imaging, major challenges must be addressed.

9 pages, 10 figures, 49 references, and accepted by IEEE Access

References in corpus (3)

• An exact mapping between the Variational Renormalization Group and Deep Learning
• Image Prediction for Limited-angle Tomography via Deep Learning with Convolutional Neural Network
• A Quantum Neural Network Computes Entanglement

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