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Automatic and accurate lumbar vertebrae detection is an essential step of image-guided minimally invasive spine surgery (IG-MISS). However, traditional methods still require human intervention due to the similarity of vertebrae, abnormal pathological conditions and uncertain imaging angle. In this paper, we present a novel convolutional neural network (CNN) model to automatically detect lumbar vertebrae...
The focus of this work is on measuring and classifying human micro-Doppler features in forested environments. As a first step, measurements of human motion activities are performed in an open space environment to establish the baseline of this study. Next, forest measurements were taken at two locations in a local park for: different frequencies, activities, and number of subjects. Each experimental...
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