Abstract: Fault classification is important for the fault cause analysis and faster power supply restoration. A deep-learning-based fault classification method in small current grounding power ...
Functional magnetic resonance imaging (fMRI) has become an essential tool for studying human brain function. Here we describe the application of this technique to anesthetized monkeys. We present ...
Abstract: An efficient and precise liver extraction from computed tomography (CT) images is a crucial step for computer-aided hepatic diseases diagnosis and treatment. Considering the possible risk to ...
Official implementation of the IEEE Transactions on Medical Imaging paper Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective, provided by Minye Shao. Figure: Comparison of our ...
Single image haze removal is a challenging ill-posed problem. Existing methods use various constraints/priors to get plausible dehazing solutions. The key to achieve haze removal is to estimate a ...
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