Results 31 to 40 of about 240,707 (227)
Volterra Filtering of Noisy Images of Curves [PDF]
, 2002 How should one filter very noisy images of curves? While blurring with a Gaussian reduces noise, it also reduces contour contrast. Both non-homogeneous and anisotropic diffusion smooth images while preserving contours, but these methods assume a single local orientation and therefore they can merge or distort nearby or crossing contours. To avoid these
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Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 Corrupted labels and class imbalance are commonly encountered in practically collected training data, which easily leads to over-fitting of deep neural networks (DNNs). Existing approaches alleviate these issues by adopting a sample re-weighting strategy, which is to re-weight sample by designing weighting function. However, it is only applicable for
Jiang, Shenwang +5 more
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Systematic profiling of cancer‐fibroblast interactions reveals drug combinations in ovarian cancer
Molecular Oncology, EarlyView.Fibroblasts, cells in the tumor environment, support ovarian cancer cell growth and alter morphology and drug response. We used fibroblast and cancer cell co‐culture models to test 528 drugs and discovered new drugs for combination treatment. We showed that adding Vorinostat or Birinapant to standard chemotherapy may improve drug response, suggesting ...
Greta Gudoityte +10 more
wiley +1 more source
Dissipation of information in channels with input constraints
, 2015 One of the basic tenets in information theory, the data processing inequality states that output divergence does not exceed the input divergence for any channel.
Polyanskiy, Yury, Wu, Yihong
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Extracting 3D parametric curves from 2D images of Helical objects [PDF]
, 2017 Helical objects occur in medicine, biology, cosmetics, nanotechnology, and engineering. Extracting a 3D parametric curve from a 2D image of a helical object has many practical applications, in particular being able to extract metrics such as tortuosity ...
Jackson, Philip T.G. +3 more
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Extract feature curves on noisy triangular meshes
Graphical Models, 2017 Abstract Feature curve is a powerful shape descriptor for a wide spectrum of applications, such as shape registration, geometry compression and surface reconstruction in CAD and reverse engineering. However, feature curve extraction from noisy data has been a challenging problem for decades. In this paper, we propose a robust algorithm for extracting
Baojiang Zhong +4 more
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Molecular Oncology, EarlyView.The COMBAT classification system, developed through multi‐omics integration, stratifies adult patients with B‐cell acute lymphoblastic leukemia(B‐ALL) into three molecular subtypes with distinct surface antigen patterns, immune landscape, methylation patterns, biological pathways and prognosis.
Yang Song +11 more
wiley +1 more source
Fast and robust curve skeletonization for real-world elongated objects
, 2018 We consider the problem of extracting curve skeletons of three-dimensional, elongated objects given a noisy surface, which has applications in agricultural contexts such as extracting the branching structure of plants. We describe an efficient and robust
Medeiros, Henry, Tabb, Amy
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What is the probability of a thermodynamical transition? [PDF]
, 2016 If the second law of thermodynamics forbids a transition from one state to another, then it is still possible to make the transition happen by using a sufficient amount of work.
Alhambra, Álvaro M. +2 more
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FEBS Open Bio, EarlyView.This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source