Bayesian Landmark-Based Shape Analysis of Tumor Pathology Images-Reference-Cited by-同舟云学术

Bayesian Landmark-Based Shape Analysis of Tumor Pathology Images

Published:2023-12-21 Issue: Volume: Page:1-13
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Zhang Cong¹,Bedi Tejasv¹^ORCID,Moon Chul²^ORCID,Xie Yang³^ORCID,Chen Min¹^ORCID,Li Qiwei²^ORCID

Affiliation:

1. Department of Mathematical Sciences, The University of Texas at Dallas, Richardson, TX

2. Department of Statistics and Data Science, Southern Methodist University, Dallas, TX

3. Quantitative Biomedical Research Center, School of Public Health, The University of Texas Southwestern Medical Center, Dallas, TX

Funder

U.S. National Science Foundation

US National Institutes of Health

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2023.2298031

Reference34 articles.

1. Charpiat, G., Faugeras, O., and Keriven, R. (2003), “Shape Metrics, Warping and Statistics,” in Proceedings 2003 International Conference on Image Processing (Vol. 2), IEEE, pp. II–627.

2. Regression Models and Life-Tables

3. Tumour heterogeneity and resistance to cancer therapies

4. Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model

5. Domijan, K., and Wilson, S. (2005), “A Bayesian Method for Automatic Landmark Detection in Segmented Images,” in Learning Techniques for Processing Multimedia Content, p. 69.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning a complex network representation for shape classification;Pattern Recognition;2024-10