TernaryNet: faster deep model inference without GPUs for medical 3D segmentation using sparse and binary convolutions.

We present a key enabling technique for highly efficient DCNN inference without GPUs that will help to bring the advances of deep learning to practical clinical applications. It has also great promise for improving accuracies in large-scale medical data retrieval.