4.6 Article

Identifying regions of interest in mammogram images

Related references

Note: Only part of the references are listed.
Article Biology

Supervised two-dimensional functional principal component analysis with time-to-event outcomes and mammogram imaging data

Shu Jiang et al.

Summary: Screening mammography is a method to detect breast cancer early, and it measures breast density to predict future cancer risk. This article introduces flexible methods, supervised FPCA and functional partial least squares, to extract image-based features associated with failure time while considering right censoring. The proposed methods outperform benchmark models in terms of prediction performance and reveal different risk patterns within mammograms.

BIOMETRICS (2023)

Article Mathematical & Computational Biology

Predicting the onset of breast cancer using mammogram imaging data with irregular boundary

Shu Jiang et al.

Summary: With mammography as the primary screening strategy for breast cancer, it is important to utilize mammogram imaging data to identify women at different risk levels. This study proposes a supervised functional principal component analysis method for extracting features from mammogram images, which improves prediction accuracy. The method effectively addresses the irregular boundary issue and shows better performance compared to unsupervised methods in simulation studies.

BIOSTATISTICS (2023)

Article Biology

A spatial Bayesian latent factor model for image-on-image regression

Cui Guo et al.

Summary: Image-on-image regression analysis is challenging due to high dimensionality and complex spatial dependence. The proposed model effectively captures spatial dependence among image outcomes and predictors, achieving better prediction accuracy and dimension reduction. By incorporating spatial Bayesian latent factor model and Gaussian process priors, the method demonstrates improved performance in predicting task-related contrast maps in multimodal image data.

BIOMETRICS (2022)

Article Biochemistry & Molecular Biology

Transition to invasive breast cancer is associated with progressive changes in the structure and composition of tumor stroma

Tyler Risom et al.

Summary: This study used MIBI-TOF and antibody staining methods to analyze the changes in the tumor microenvironment (TME) between DCIS and IBC. Four coordinated transitions between TME states were identified. The study also found that myoepithelial disruption was more advanced in DCIS patients who did not develop IBC, suggesting a potential protective effect against recurrence.
Article Statistics & Probability

Generalized Scalar-on-Image Regression Models via Total Variation

Xiao Wang et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2017)

Article Oncology

Breast Cancer Risk Reduction, Version 2.2015

Therese B. Bevers et al.

JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK (2015)

Article Statistics & Probability

STANDARDIZATION AND THE GROUP LASSO PENALTY

Noah Simon et al.

STATISTICA SINICA (2012)

Article Neurosciences

Functional principal component model for high-dimensional brain imaging

Vadim Zipunnikov et al.

NEUROIMAGE (2011)

Article Biology

Functional Generalized Linear Models with Images as Predictors

Philip T. Reiss et al.

BIOMETRICS (2010)

Article Statistics & Probability

The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions

Jianhua Z. Huang et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2009)

Article Statistics & Probability

Soap film smoothing

Simon N. Wood et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2008)

Article Statistics & Probability

The group lasso for logistic regression

Lukas Meier et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2008)

Article Statistics & Probability

Evaluating prediction rules for t-year survivors with censored regression models

Hajime Uno et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2007)

Article Statistics & Probability

Model selection and estimation in regression with grouped variables

M Yuan et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2006)

Article Statistics & Probability

Spline smoothing over difficult regions

AT Ramsay

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2002)