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Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach
TLDR
An optimal surface detection method capable of simultaneously detecting multiple interacting surfaces, in which the optimality is controlled by the cost functions designed for individual surfaces and by several geometric constraints defining the surface smoothness and interrelations is developed. Expand
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
TLDR
A deep active learning framework that combines fully convolutional network (FCN) and active learning to significantly reduce annotation effort by making judicious suggestions on the most effective annotation areas is presented. Expand
Optimal Net Surface Problems with Applications
TLDR
It is proved that the optimal net surface problems on general d-D multicolumn graphs (d ? 3) are NP-hard, and two combinatorial optimization problems called optimal netsurface problems on such graphs are formulated. Expand
Task scheduling and voltage selection for energy minimization
TLDR
A two-phase framework that integrates task assignment, ordering and voltage selection together to minimize energy consumption of real-time dependent tasks executing on a given number of variable voltage processors is presented. Expand
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation
TLDR
This paper proposes a new DL framework for 3D image segmentation, based on a fully convolutional network (FCN) and a recurrent neural network (RNN), which are responsible for exploiting the intra-slice and inter-slice contexts, respectively. Expand
Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images
TLDR
A new deep adversarial network (DAN) model is proposed for biomedical image segmentation, aiming to attain consistently good segmentation results on both annotated and unannotated images. Expand
Efficient Algorithms for Optimization-Based Image Segmentation
TLDR
This paper shows that the optimization problem of separating a connected region in a grid of N×N pixels is NP-hard under the interclass variance, a criterion that is often used in discriminant analysis. Expand
Notch-dependent repression of miR-155 in the bone marrow niche regulates hematopoiesis in an NF-κB-dependent manner.
TLDR
The Notch/miR-155/κB-Ras1/NF-κB axis regulates the inflammatory state of the BM niche and affects the development of myeloproliferative disorders. Expand
Algorithms on Minimizing the Maximum Sensor Movement for Barrier Coverage of a Linear Domain
TLDR
This paper studies the problem of moving n sensors on a line to form a barrier coverage of a specified segment of the line such that the maximum moving distance of the sensors is minimized, and gives an O(n2lognloglogn) time algorithm, if all sensors have the same-size sensing range. Expand
Matroid and Knapsack Center Problems
TLDR
A polynomial time algorithm is presented that gives a 3-approximate solution to the (multi-)knapsack center problem such that one knapsack constraint is satisfied and the others may be violated by at most a factor of $$1+\epsilon $$1-ϵ. Expand
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