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A Coupled Minimization Problem for Medical …

    https://people.clas.ufl.edu/yun/files/article-11.pdf
    A Coupled Minimization Problem for Medical Image Segmentation with Priors 261 the evolution of an active contour, so that the active contour arrives at high gradients, forms a shape similar to the prior, and captures prior intensity profile. Our approach is solving a coupled optimization problem. The first problem minimizes a weighted sum of two

A Coupled Minimization Problem for Medical Image …

    https://dl.acm.org/doi/10.1007/s11263-006-8524-2
    We present a coupled minimization problem for image segmentation using prior shape and intensity profile. One part of the model minimizes a shape related energy and the …

A Coupled Minimization Problem for Medical Image …

    https://link.springer.com/article/10.1007/s11263-006-8524-2
    The minimizer corresponding to a fixed parameter in this minimization gives a segmentation and an alignment between the segmentation and prior shape. The second …

A Coupled Minimization Problem for Medical Image …

    https://www.researchgate.net/publication/220659992_A_Coupled_Minimization_Problem_for_Medical_Image_Segmentation_with_Priors
    Medical Imaging A Coupled Minimization Problem for Medical Image Segmentation with Priors Authors: Yunmei Chen University of Florida Feng Huang …

Coupled Feature Learning for Multimodal Medical Image …

    https://arxiv.org/abs/2102.08641
    Multimodal image fusion aims to combine relevant information from images acquired with different sensors. In medical imaging, fused images play an essential role in …

[2110.11210] Minimax Problems with Coupled Linear …

    https://arxiv.org/abs/2110.11210
    Minimax Problems with Coupled Linear Constraints: Computational Complexity, Duality and Solution Methods. Ioannis Tsaknakis, Mingyi Hong, Shuzhong …

Minimisation (clinical trials) - Wikipedia

    https://en.wikipedia.org/wiki/Minimisation_(clinical_trials)
    Minimisation is a method of adaptive stratified sampling that is used in clinical trials, as described by Pocock and Simon. [1] [2] The aim of minimisation is to minimise the …

Review of Optimization Methods of Medical …

    https://www.researchgate.net/publication/339984004_Review_of_Optimization_Methods_of_Medical_Image_Segmentation
    The robustness has been addressed by few researchers but still remains challenging task. The performance of existing research work on medical image …

Review of Optimization Methods of Medical Image …

    https://link.springer.com/chapter/10.1007/978-981-15-1480-7_17
    Medical image segmentation is an important component in medical image analysis and diagnosis which is used as a useful application for medical image …

Combining a coupled minimization and maximization …

    https://math.stackexchange.com/questions/3125683/combining-a-coupled-minimization-and-maximization-problem-is-there-a-better-app
    Sorted by: 1 The solution of J ( f) (if you were able to find it) might not be a minimizer of B ( f) + λ C ( f) for any λ, so minimizing J ( f) will not necessarily minimize the …



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