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Towards Single-phase Single-stage Detection of Pulmonary Nodules in Chest CT Imaging
As for candidate detection, prior art was mainly based on the two-stage Faster R-CNN framework, which starts with an initial sub-net to generate a set of class-agnostic region proposals, followed by a second sub-net to perform classification and bounding-box regression.
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network
Over the past decades, state-of-the-art medical image segmentation has heavily rested on signal processing paradigms, most notably registration-based label propagation and pair-wise patch comparison, which are generally slow despite a high segmentation accuracy.
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