23 Result(s)
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Chapter
2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans
Deep neural networks have been widely adopted for automatic organ segmentation from abdominal scans. However, the segmentation accuracy of small (e.g., pancreas) or neoplasms (e.g., pancreatic cyst) is someti...
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Article
On Data Preconditioning for Regularized Loss Minimization
In this work, we study data preconditioning, a well-known and long-existing technique, for boosting the convergence of first-order methods for regularized loss minimization in machine learning. It is well unde...
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Article
Adaptive least squares support vector machines filter for hand tremor canceling in microsurgery
One of the main problems for effective control of a minimally invasive surgery (MIS) is the imprecision that caused by hand tremor. In this paper, a novel adaptive filter, the least squares support vector mach...
