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Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology Images
With the advanced imaging technology, digital pathology imaging of tumor...
12/09/2020 ∙ by Esteban Fernández Morales, et al. ∙
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Predicting survival outcomes using topological features of tumor pathology images
Tumor shape and size have been used as important markers for cancer diag...
12/07/2020 ∙ by Chul Moon, et al. ∙
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Bayesian Landmark-based Shape Analysis of Tumor Pathology Images
Medical imaging is a form of technology that has revolutionized the medi...
11/24/2020 ∙ by Cong Zhang, et al. ∙
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Empirical Likelihood Inference for Area under the ROC Curve using Ranked Set Samples
The area under a receiver operating characteristic curve (AUC) is a usef...
10/23/2020 ∙ by Chul Moon, et al. ∙
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Bayesian Elastic Net based on Empirical Likelihood
Empirical likelihood is a popular nonparametric method for inference and...
06/18/2020 ∙ by Chul Moon, et al. ∙
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Hypothesis Testing for Shapes using Vectorized Persistence Diagrams
Topological data analysis involves the statistical characterization of t...
06/09/2020 ∙ by Chul Moon, et al. ∙
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Persistent homology machine learning for fingerprint classification
The fingerprint classification problem is to sort fingerprints into pre-...
11/24/2017 ∙ by Noah Giansiracusa, et al. ∙
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